EasyVisa Project¶

Context:¶

Business communities in the United States are facing high demand for human resources, but one of the constant challenges is identifying and attracting the right talent, which is perhaps the most important element in remaining competitive. Companies in the United States look for hard-working, talented, and qualified individuals both locally as well as abroad.

The Immigration and Nationality Act (INA) of the US permits foreign workers to come to the United States to work on either a temporary or permanent basis. The act also protects US workers against adverse impacts on their wages or working conditions by ensuring US employers' compliance with statutory requirements when they hire foreign workers to fill workforce shortages. The immigration programs are administered by the Office of Foreign Labor Certification (OFLC).

OFLC processes job certification applications for employers seeking to bring foreign workers into the United States and grants certifications in those cases where employers can demonstrate that there are not sufficient US workers available to perform the work at wages that meet or exceed the wage paid for the occupation in the area of intended employment.

Objective:¶

In FY 2016, the OFLC processed 775,979 employer applications for 1,699,957 positions for temporary and permanent labor certifications. This was a nine percent increase in the overall number of processed applications from the previous year. The process of reviewing every case is becoming a tedious task as the number of applicants is increasing every year.

The increasing number of applicants every year calls for a Machine Learning based solution that can help in shortlisting the candidates having higher chances of VISA approval. OFLC has hired your firm EasyVisa for data-driven solutions. You as a data scientist have to analyze the data provided and, with the help of a classification model:

  • Facilitate the process of visa approvals.
  • Recommend a suitable profile for the applicants for whom the visa should be certified or denied based on the drivers that significantly influence the case status.

Data Description¶

The data contains the different attributes of the employee and the employer. The detailed data dictionary is given below.

  • case_id: ID of each visa application
  • continent: Information of continent the employee
  • education_of_employee: Information of education of the employee
  • has_job_experience: Does the employee has any job experience? Y= Yes; N = No
  • requires_job_training: Does the employee require any job training? Y = Yes; N = No
  • no_of_employees: Number of employees in the employer's company
  • yr_of_estab: Year in which the employer's company was established
  • region_of_employment: Information of foreign worker's intended region of employment in the US.
  • prevailing_wage: Average wage paid to similarly employed workers in a specific occupation in the area of intended employment. The purpose of the prevailing wage is to ensure that the foreign worker is not underpaid compared to other workers offering the same or similar service in the same area of employment.
  • unit_of_wage: Unit of prevailing wage. Values include Hourly, Weekly, Monthly, and Yearly.
  • full_time_position: Is the position of work full-time? Y = Full Time Position; N = Part Time Position
  • case_status: Flag indicating if the Visa was certified or denied

Importing necessary libraries and data¶

In [1]:
# Library to suppress warnings or deprecation notes 
import warnings
warnings.filterwarnings('ignore')

# Libraries to help with reading and manipulating data
import numpy as np
import pandas as pd

# Libraries to help with data visualization
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns

# Library to split data 
from sklearn.model_selection import train_test_split

# Libraries to import decision tree classifier and different ensemble classifiers
from sklearn.ensemble import BaggingClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.tree import DecisionTreeRegressor
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import BaggingRegressor,RandomForestRegressor, GradientBoostingRegressor, AdaBoostRegressor, StackingRegressor
from xgboost import XGBRegressor
from sklearn import metrics
from sklearn.model_selection import GridSearchCV, train_test_split
from sklearn.metrics import (
    f1_score,
    accuracy_score,
    recall_score,
    precision_score,
    make_scorer,
    confusion_matrix,
)
# Library for building and showing decision tree models
from sklearn.tree import DecisionTreeClassifier
from sklearn.tree import plot_tree

# Library for Bagging ensemble technique
from sklearn.ensemble import BaggingClassifier

# Library for Random Forest ensemble technique
from sklearn.ensemble import RandomForestClassifier

# Library for AdaBoost ensemble technique
from sklearn.ensemble import AdaBoostClassifier

# Library for Gradient Boosting ensemble technique
from sklearn.ensemble import GradientBoostingClassifier

# Library for XGBoost ensemble technique
from xgboost import XGBClassifier

# Library for Stacking ensemble technique
from sklearn.ensemble import StackingClassifier

# Libtune to tune model, get different metric scores
from sklearn import metrics
from sklearn.metrics import confusion_matrix, classification_report, accuracy_score, precision_score, recall_score,f1_score,roc_auc_score
from sklearn.model_selection import GridSearchCV

Data Overview¶

  • Observations
  • Sanity checks
In [2]:
visa=pd.read_csv("EasyVisa.csv")
In [3]:
vs=visa.copy()
In [4]:
vs.head()
Out[4]:
case_id continent education_of_employee has_job_experience requires_job_training no_of_employees yr_of_estab region_of_employment prevailing_wage unit_of_wage full_time_position case_status
0 EZYV01 Asia High School N N 14513 2007 West 592.2029 Hour Y Denied
1 EZYV02 Asia Master's Y N 2412 2002 Northeast 83425.6500 Year Y Certified
2 EZYV03 Asia Bachelor's N Y 44444 2008 West 122996.8600 Year Y Denied
3 EZYV04 Asia Bachelor's N N 98 1897 West 83434.0300 Year Y Denied
4 EZYV05 Africa Master's Y N 1082 2005 South 149907.3900 Year Y Certified
In [5]:
vs.tail()
Out[5]:
case_id continent education_of_employee has_job_experience requires_job_training no_of_employees yr_of_estab region_of_employment prevailing_wage unit_of_wage full_time_position case_status
25475 EZYV25476 Asia Bachelor's Y Y 2601 2008 South 77092.57 Year Y Certified
25476 EZYV25477 Asia High School Y N 3274 2006 Northeast 279174.79 Year Y Certified
25477 EZYV25478 Asia Master's Y N 1121 1910 South 146298.85 Year N Certified
25478 EZYV25479 Asia Master's Y Y 1918 1887 West 86154.77 Year Y Certified
25479 EZYV25480 Asia Bachelor's Y N 3195 1960 Midwest 70876.91 Year Y Certified
In [6]:
vs.shape
Out[6]:
(25480, 12)
In [7]:
vs.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 25480 entries, 0 to 25479
Data columns (total 12 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   case_id                25480 non-null  object 
 1   continent              25480 non-null  object 
 2   education_of_employee  25480 non-null  object 
 3   has_job_experience     25480 non-null  object 
 4   requires_job_training  25480 non-null  object 
 5   no_of_employees        25480 non-null  int64  
 6   yr_of_estab            25480 non-null  int64  
 7   region_of_employment   25480 non-null  object 
 8   prevailing_wage        25480 non-null  float64
 9   unit_of_wage           25480 non-null  object 
 10  full_time_position     25480 non-null  object 
 11  case_status            25480 non-null  object 
dtypes: float64(1), int64(2), object(9)
memory usage: 2.3+ MB

We can see that there are total of 12 columns and 25480 rows in the dataset. All columns' data type is either object, integer or float. The number of non-null values of each column is equal to the number of total rows in the dataset i.e. no null value. We can further confirm this using isna() method.

In [8]:
vs.isna().sum()
Out[8]:
case_id                  0
continent                0
education_of_employee    0
has_job_experience       0
requires_job_training    0
no_of_employees          0
yr_of_estab              0
region_of_employment     0
prevailing_wage          0
unit_of_wage             0
full_time_position       0
case_status              0
dtype: int64

object values exist

In [9]:
vs.describe().T
Out[9]:
count mean std min 25% 50% 75% max
no_of_employees 25480.0 5667.043210 22877.928848 -26.0000 1022.00 2109.00 3504.0000 602069.00
yr_of_estab 25480.0 1979.409929 42.366929 1800.0000 1976.00 1997.00 2005.0000 2016.00
prevailing_wage 25480.0 74455.814592 52815.942327 2.1367 34015.48 70308.21 107735.5125 319210.27

The mean and median value of yr_of_estab is approx around 1976-1979 The mean and median value for 'prevailing_wage' is approx 70k and 75k respectively

In [10]:
vs.nunique()
Out[10]:
case_id                  25480
continent                    6
education_of_employee        4
has_job_experience           2
requires_job_training        2
no_of_employees           7105
yr_of_estab                199
region_of_employment         5
prevailing_wage          25454
unit_of_wage                 4
full_time_position           2
case_status                  2
dtype: int64
In [11]:
 We can drop 'case_id' column as it is an ID variable and will not add value to the model.

  File "/var/folders/m2/gjh630753mlgsstjvttk3tcc0000gn/T/ipykernel_81020/3689040037.py", line 1
    We can drop 'case_id' column as it is an ID variable and will not add value to the model.
       ^
SyntaxError: invalid syntax
In [12]:
cat_cols=['continent','education_of_employee','has_job_experience','requires_job_training','case_status']

for column in cat_cols:
    print(vs[column].value_counts())
    print('-'*30)

Asia             16861
Europe            3732
North America     3292
South America      852
Africa             551
Oceania            192
Name: continent, dtype: int64
------------------------------
Bachelor's     10234
Master's        9634
High School     3420
Doctorate       2192
Name: education_of_employee, dtype: int64
------------------------------
Y    14802
N    10678
Name: has_job_experience, dtype: int64
------------------------------
N    22525
Y     2955
Name: requires_job_training, dtype: int64
------------------------------
Certified    17018
Denied        8462
Name: case_status, dtype: int64
------------------------------
  • The number of applications from Asia are more compared to tother continents.
  • The number of Bachelor's applications are more compared to other education degrees.
  • Many applications have job training before and do not require any job training.

Exploratory Data Analysis (EDA) Summary¶

In [13]:
def histogram_boxplot(data, feature, figsize=(15, 10), kde=False, bins=None):
    """
    Boxplot and histogram combined

    data: dataframe
    feature: dataframe column
    figsize: size of figure (default (15,10))
    kde: whether to show the density curve (default False)
    bins: number of bins for histogram (default None)
    """
    f2, (ax_box2, ax_hist2) = plt.subplots(
        nrows=2,  # Number of rows of the subplot grid= 2
        sharex=True,  # x-axis will be shared among all subplots
        gridspec_kw={"height_ratios": (0.25, 0.75)},
        figsize=figsize,
    )  # creating the 2 subplots
    sns.boxplot(
        data=data, x=feature, ax=ax_box2, showmeans=True, color="violet"
    )  # boxplot will be created and a triangle will indicate the mean value of the column
    sns.histplot(
        data=data, x=feature, kde=kde, ax=ax_hist2, bins=bins
    ) if bins else sns.histplot(
        data=data, x=feature, kde=kde, ax=ax_hist2
    )  # For histogram
    ax_hist2.axvline(
        data[feature].mean(), color="green", linestyle="--"
    )  # Add mean to the histogram
    ax_hist2.axvline(
        data[feature].median(), color="black", linestyle="-"
    )  # Add median to the histogram
In [14]:
# function to create labeled barplots


def labeled_barplot(data, feature, perc=False, n=None):
    """
    Barplot with percentage at the top

    data: dataframe
    feature: dataframe column
    perc: whether to display percentages instead of count (default is False)
    n: displays the top n category levels (default is None, i.e., display all levels)
    """

    total = len(data[feature])  # length of the column
    count = data[feature].nunique()
    if n is None:
        plt.figure(figsize=(count + 2, 6))
    else:
        plt.figure(figsize=(n + 2, 6))

    plt.xticks(rotation=90, fontsize=15)
    ax = sns.countplot(
        data=data,
        x=feature,
        palette="Paired",
        order=data[feature].value_counts().index[:n],
    )

    for p in ax.patches:
        if perc == True:
            label = "{:.1f}%".format(
                100 * p.get_height() / total
            )  # percentage of each class of the category
        else:
            label = p.get_height()  # count of each level of the category

        x = p.get_x() + p.get_width() / 2  # width of the plot
        y = p.get_height()  # height of the plot

        ax.annotate(
            label,
            (x, y),
            ha="center",
            va="center",
            size=12,
            xytext=(0, 5),
            textcoords="offset points",
        )  # annotate the percentage

    plt.show()  # show the plot
In [15]:
# User-defined function to plot a stacked barplot
def stacked_barplot(data, predictor, target, xlabel, ylabel):
    """
    Print the category counts and plot a stacked bar chart

    data: dataframe
    predictor: independent variable
    target: target variable
    xlabel: label of x-axis
    ylabel: label of y-axis
    """

    count = data[predictor].nunique()
    sorter = data[target].value_counts().index[-1]
    tab1 = pd.crosstab(data[predictor], data[target], margins=True).sort_values(
        by=sorter, ascending=False
    )
    print(tab1)
    print("-" * 120)
    tab = pd.crosstab(data[predictor], data[target], normalize="index").sort_values(
        by=sorter, ascending=False
    )
    tab.plot(kind="bar", stacked=True, figsize=(count + 2, 4))

    plt.legend(loc="upper left", bbox_to_anchor=(1, 1), fontsize=16)
    plt.xlabel(xlabel, fontsize=16)
    plt.ylabel(ylabel, fontsize=16)

    plt.xticks(fontsize=14)
    plt.yticks(fontsize=14)

    plt.show()
In [16]:
# User-defined function to plot a boxplot and a histogram along the same scale
def histogram_boxplot(
    data, feature, xlabel, ylabel, figsize=(8, 6), kde=False, bins=None
):
    """
    Boxplot and histogram combined

    data: dataframe
    feature: dataframe column
    xlabel: label of x-axis
    ylabel: label of y-axis
    figsize: size of figure (default (8, 6))
    kde: whether to show the density curve (default False)
    bins: number of bins for histogram (default None)
    """
    f2, (ax_box2, ax_hist2) = plt.subplots(
        nrows=2,  # Number of rows of the subplot grid= 2
        sharex=True,  # x-axis will be shared among all subplots
        gridspec_kw={"height_ratios": (0.25, 0.75)},
        figsize=figsize,
    )  # creating the 2 subplots

    sns.boxplot(
        data=data, x=feature, ax=ax_box2, showmeans=True, color="orange"
    )  # boxplot will be created and a star will indicate the mean value of the column

    sns.histplot(
        data=data, x=feature, kde=kde, ax=ax_hist2, bins=bins, palette="Set2"
    ) if bins else sns.histplot(
        data=data, x=feature, kde=kde, ax=ax_hist2
    )  # For histogram

    ax_hist2.axvline(
        data[feature].mean(), color="green", linestyle="--"
    )  # Add mean to the histogram

    ax_hist2.axvline(
        data[feature].median(), color="red", linestyle="-"
    )  # Add median to the histogram

    ax_box2.set_xlabel("", fontsize=16)  # remove label of 1st x-axis
    ax_hist2.set_xlabel(xlabel, fontsize=16)  # set 2nd x-axis label
    ax_hist2.set_ylabel(ylabel, fontsize=16)
    # set y-axis label
In [17]:
histogram_boxplot(
                 data=vs,
    feature="prevailing_wage",
    xlabel="Wage",
    ylabel="Number of Applications",
    kde=True,
    bins=40,)
  • prevailing_wage has a right-skewed distribution and 0 has the highest count among all observations
  • Distribution is not symmetric but mean and median are approx equal with a value equal to approx ~75000
  • There are many outliers in this variable
In [18]:
labeled_barplot(vs,'continent')

As we noticed before no of applications from Asia are more compared to other continents.

Bivariate analysis¶

Correlation Check

In [19]:
sns.set(rc={'figure.figsize':(16,10)})
sns.heatmap(vs.corr(),
            annot=True,
            linewidths=.5,
            center=0,
            cbar=False,
            cmap="Spectral")
plt.show()

correlation check is not giving us much information here , lets explore this again after treating the data.

Leading Questions:

  1. Those with higher education may want to travel abroad for a well-paid job. Does education play a role in Visa certification?

  2. How does the visa status vary across different continents?

  3. Experienced professionals might look abroad for opportunities to improve their lifestyles and career development. Does work experience influence visa status?

  4. In the United States, employees are paid at different intervals. Which pay unit is most likely to be certified for a visa?

  5. The US government has established a prevailing wage to protect local talent and foreign workers. How does the visa status change with the prevailing wage?

1. Those with higher education may want to travel abroad for a well-paid job. Does education play a role in Visa certification?¶

In [20]:
labeled_barplot(vs, "education_of_employee", perc=True)
In [21]:
contingency_table = pd.crosstab(vs.education_of_employee, vs.case_status)
contingency_table
Out[21]:
case_status Certified Denied
education_of_employee
Bachelor's 6367 3867
Doctorate 1912 280
High School 1164 2256
Master's 7575 2059
In [22]:
vs['case_status_binary'] = np.where(vs['case_status']=='Certified',1,0)
In [23]:
sns.catplot(data=vs, x="education_of_employee", y="case_status_binary", hue="education_of_employee", kind="bar")
Out[23]:
<seaborn.axisgrid.FacetGrid at 0x7fc733662c10>

Doctorte degrees and masters degrees have higher chance of getting your case certified.

2.How does the visa status vary across different continents?¶

continents visa status

In [24]:
labeled_barplot(vs, "continent", perc=True)

Asia continent has more number of applications.

In [23]:
sns.catplot(data=vs, x="continent", y="case_status_binary", hue="continent", kind="bar")
plt.xticks(rotation='vertical')
Out[23]:
(array([0, 1, 2, 3, 4, 5]),
 [Text(0, 0, 'Asia'),
  Text(1, 0, 'Africa'),
  Text(2, 0, 'North America'),
  Text(3, 0, 'Europe'),
  Text(4, 0, 'South America'),
  Text(5, 0, 'Oceania')])

However, no of applications that are approved are more for europe continent

3.Experienced professionals might look abroad for opportunities to improve their lifestyles and career development. Does work experience influence visa status?¶

In [25]:
sns.catplot(data=vs, x="has_job_experience", y="case_status_binary", hue="has_job_experience", kind="bar")
plt.xticks(rotation='vertical')
Out[25]:
(array([0, 1]), [Text(0, 0, 'N'), Text(1, 0, 'Y')])

Applicants who have job experience have higher chance of getting approved compared to someone who has no experience.

4.In the United States, employees are paid at different intervals. Which pay unit is most likely to be certified for a visa?¶

In [26]:
sns.catplot(data=vs, x="unit_of_wage", y="case_status_binary", hue="unit_of_wage", kind="bar")
plt.xticks(rotation='vertical')
Out[26]:
(array([0, 1, 2, 3]),
 [Text(0, 0, 'Hour'),
  Text(1, 0, 'Year'),
  Text(2, 0, 'Week'),
  Text(3, 0, 'Month')])

Yearly pay unit has more preference over the rest for the applications that have got certified

In [27]:
vs.dtypes
Out[27]:
case_id                   object
continent                 object
education_of_employee     object
has_job_experience        object
requires_job_training     object
no_of_employees            int64
yr_of_estab                int64
region_of_employment      object
prevailing_wage          float64
unit_of_wage              object
full_time_position        object
case_status               object
case_status_binary         int64
dtype: object

5.The US government has established a prevailing wage to protect local talent and foreign workers. How does the visa status change with the prevailing wage?¶

In [28]:
sns.catplot(data=vs, x="case_status_binary", y="prevailing_wage", hue="case_status_binary", kind="bar")
plt.xticks(rotation='vertical')
Out[28]:
(array([0, 1]), [Text(0, 0, '0'), Text(1, 0, '1')])

Prevailing wage above 70k have higher chance in getting case certified.

Data Preprocessing¶

  • Missing value treatment (if needed)
  • Feature engineering
  • Outlier detection and treatment (if needed)
  • Preparing data for modeling
  • Any other preprocessing steps (if needed)

Outlier Detection and Treatment¶

In [29]:
# outlier detection using boxplot
numeric_columns = vs.select_dtypes(include=np.number).columns.tolist()


plt.figure(figsize=(15, 12))

for i, variable in enumerate(numeric_columns):
    plt.subplot(4, 4, i + 1)
    plt.boxplot(vs[variable], whis=1.5)
    plt.tight_layout()
    plt.title(variable)

plt.show()
  • There are quite a few outliers in the data.
  • However, we will not treat them as they are proper values.

We can drop case_id variable and will not add value to the model.

In [30]:
#Dropping two columns from the dataframe
vs.drop(columns=['case_id'], inplace=True)
In [31]:
# Identify rows with non-positive no_of_employees
neg_employee_no_rows = vs.no_of_employees <= 0

# Print number of rows with non-positive no_of_employees
print(
    f"There are {neg_employee_no_rows.sum()} rows with non-positive number of employees."
)

# Replace negative values in column no_of_employees with its median
vs.loc[neg_employee_no_rows, "no_of_employees"] = vs.no_of_employees.median()

# Double-check minimum value of no_of_employees
print(f"The new minimum number of employees is {vs.no_of_employees.min()}.")

There are 33 rows with non-positive number of employees.
The new minimum number of employees is 12.
In [32]:
vs["yr_of_estab"].unique()
Out[32]:
array([2007, 2002, 2008, 1897, 2005, 2012, 1994, 1924, 1995, 2004, 1963,
       2006, 1987, 1991, 2001, 1972, 2013, 1968, 1884, 1981, 1997, 2009,
       1998, 1880, 2000, 2010, 1965, 1909, 2011, 1989, 1933, 1960, 2003,
       1976, 1996, 1847, 1935, 1890, 1999, 1838, 1947, 1939, 1970, 1977,
       1982, 1943, 1956, 1864, 1974, 1985, 1984, 1971, 1913, 1969, 1818,
       1839, 1914, 1988, 1944, 1855, 1975, 1966, 1801, 1920, 1925, 1993,
       1992, 1979, 1986, 1931, 1962, 1954, 1868, 1859, 1946, 1950, 1869,
       1917, 2014, 1980, 1896, 1949, 1843, 1850, 1906, 1961, 1951, 1958,
       1912, 1983, 1948, 1945, 1978, 1898, 1923, 1911, 1851, 1865, 1849,
       1872, 1967, 1926, 1873, 1848, 2015, 1889, 1876, 1852, 1938, 1973,
       1959, 1927, 1990, 1930, 1922, 1940, 1878, 1934, 1834, 1928, 1800,
       1861, 1952, 1846, 1885, 1907, 1817, 1841, 1821, 1953, 1888, 1916,
       1886, 2016, 1932, 1915, 1937, 1866, 1919, 1921, 1910, 1854, 1875,
       1904, 1879, 1942, 1964, 1899, 1900, 1837, 1887, 1929, 1936, 1857,
       1877, 1918, 1902, 1804, 1823, 1893, 1908, 1833, 1941, 1867, 1836,
       1871, 1881, 1840, 1957, 1856, 1845, 1863, 1955, 1858, 1874, 1892,
       1853, 1894, 1883, 1860, 1819, 1905, 1831, 1882, 1870, 1901, 1895,
       1824, 1862, 1807, 1832, 1822, 1903, 1810, 1820, 1809, 1891, 1830,
       1842])

EDA¶

  • It is a good idea to explore the data once again after manipulating it.
In [33]:
# Use user-defined function histogram_boxplot() to examine distribution of data
histogram_boxplot(
    data=vs,
    feature="yr_of_estab",
    xlabel="Years Since Establishment",
    ylabel="Number of Applications",
    kde=True,
    bins=40,
)

Years since Established is left skewed with most of number of outliers exisitng on left side. We can also notice here that the organizations that are established around and after 2000 year have more number of applications.

In [34]:
# Create a list of column names including numeric data
num_cols = vs.select_dtypes(include=np.number).columns.tolist()

# Add case_status to list of column names including numeric data
num_cols = num_cols + ["case_status"]

# Create a pairplot to see distributions of and relationships between variations of numeric data
sns.pairplot(data=vs[num_cols], hue="case_status", diag_kind="kde", aspect=1)
Out[34]:
<seaborn.axisgrid.PairGrid at 0x7fc70069d6a0>

Data Preparataion for model building¶

In [35]:
for feature in vs.columns:
    if vs[feature].dtype == 'category':
        vs[feature]=vs[feature].astype[int]
vs.info()

<class 'pandas.core.frame.DataFrame'>
RangeIndex: 25480 entries, 0 to 25479
Data columns (total 12 columns):
 #   Column                 Non-Null Count  Dtype  
---  ------                 --------------  -----  
 0   continent              25480 non-null  object 
 1   education_of_employee  25480 non-null  object 
 2   has_job_experience     25480 non-null  object 
 3   requires_job_training  25480 non-null  object 
 4   no_of_employees        25480 non-null  int64  
 5   yr_of_estab            25480 non-null  int64  
 6   region_of_employment   25480 non-null  object 
 7   prevailing_wage        25480 non-null  float64
 8   unit_of_wage           25480 non-null  object 
 9   full_time_position     25480 non-null  object 
 10  case_status            25480 non-null  object 
 11  case_status_binary     25480 non-null  int64  
dtypes: float64(1), int64(3), object(8)
memory usage: 2.3+ MB
In [36]:
# Separating features and the target column
X = vs.drop(['case_status_binary','case_status'], axis=1)
y = vs.case_status_binary
In [37]:
# creating dummy variables
X = pd.get_dummies(X, drop_first=True)
In [38]:
# Splitting the data into train and test sets in 70:30 ratio
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30, random_state=1, shuffle=True)
In [39]:
X_train.shape, X_test.shape
Out[39]:
((17836, 21), (7644, 21))
  • We have 17836 observations in the train set and 7644 observations in the test set.
In [41]:
X_train
Out[41]:
no_of_employees yr_of_estab prevailing_wage continent_Asia continent_Europe continent_North America continent_Oceania continent_South America education_of_employee_Doctorate education_of_employee_High School ... has_job_experience_Y requires_job_training_Y region_of_employment_Midwest region_of_employment_Northeast region_of_employment_South region_of_employment_West unit_of_wage_Month unit_of_wage_Week unit_of_wage_Year full_time_position_Y
18177 2727 1988 50739.740 1 0 0 0 0 0 0 ... 1 0 0 0 1 0 0 0 1 1
20291 2076 2006 127247.750 1 0 0 0 0 0 0 ... 1 0 0 1 0 0 0 0 1 1
21717 3206 2010 349.994 0 0 0 0 1 0 0 ... 1 0 0 0 0 1 0 0 0 1
6351 2407 2005 45798.750 0 0 0 0 1 1 0 ... 1 1 0 0 1 0 0 0 1 1
7312 432 1913 90318.460 1 0 0 0 0 1 0 ... 1 0 0 0 0 1 0 0 1 1
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
10955 497 2013 108175.410 1 0 0 0 0 0 0 ... 1 0 1 0 0 0 0 0 1 1
17289 2610 2007 146773.450 1 0 0 0 0 0 0 ... 1 0 0 1 0 0 0 0 1 0
5192 1774 1976 159577.430 1 0 0 0 0 0 0 ... 1 0 1 0 0 0 0 0 1 1
12172 1407 1994 137.690 1 0 0 0 0 0 0 ... 0 0 0 0 1 0 0 0 0 1
235 2147 1986 87390.540 0 0 1 0 0 0 1 ... 0 0 0 0 0 1 0 0 1 1

17836 rows × 21 columns

In [42]:
y_train
Out[42]:
18177    1
20291    1
21717    0
6351     1
7312     1
        ..
10955    1
17289    1
5192     0
12172    1
235      0
Name: case_status_binary, Length: 17836, dtype: int64
In [43]:
y_test
Out[43]:
17639    1
23951    1
8625     1
20206    1
7471     0
        ..
7040     0
495      0
12559    1
15050    1
12490    1
Name: case_status_binary, Length: 7644, dtype: int64

Building bagging and boosting models¶

Bagging - Model Building and Hyperparameter Tuning¶

  • We'll fit different models on the train data and observe their performance.
  • We'll try to improve that performance by tuning some hyperparameters available for that algorithm.
  • We'll use GridSearchCv for hyperparameter tuning and confusion matrix to optimize the model.
  • Accuracy, recall and precision are used to evaluate the performance of a classification model. It is the amount of the variation in the output dependent attribute which is predictable from the input independent variables.
  • Let's start by creating a function to get model scores, so that we don't have to use the same codes repeatedly.

Decision Tree Model¶

In [45]:
# Use function DecisionTreeClassifier from sklearn to build model - consider `gini` criterion to split data at nodes
dtree = DecisionTreeClassifier(criterion="gini", random_state=1)
dtree.fit(X_train, y_train)
Out[45]:
DecisionTreeClassifier(random_state=1)
In [46]:
X_train
Out[46]:
no_of_employees yr_of_estab prevailing_wage continent_Asia continent_Europe continent_North America continent_Oceania continent_South America education_of_employee_Doctorate education_of_employee_High School ... has_job_experience_Y requires_job_training_Y region_of_employment_Midwest region_of_employment_Northeast region_of_employment_South region_of_employment_West unit_of_wage_Month unit_of_wage_Week unit_of_wage_Year full_time_position_Y
18177 2727 1988 50739.740 1 0 0 0 0 0 0 ... 1 0 0 0 1 0 0 0 1 1
20291 2076 2006 127247.750 1 0 0 0 0 0 0 ... 1 0 0 1 0 0 0 0 1 1
21717 3206 2010 349.994 0 0 0 0 1 0 0 ... 1 0 0 0 0 1 0 0 0 1
6351 2407 2005 45798.750 0 0 0 0 1 1 0 ... 1 1 0 0 1 0 0 0 1 1
7312 432 1913 90318.460 1 0 0 0 0 1 0 ... 1 0 0 0 0 1 0 0 1 1
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
10955 497 2013 108175.410 1 0 0 0 0 0 0 ... 1 0 1 0 0 0 0 0 1 1
17289 2610 2007 146773.450 1 0 0 0 0 0 0 ... 1 0 0 1 0 0 0 0 1 0
5192 1774 1976 159577.430 1 0 0 0 0 0 0 ... 1 0 1 0 0 0 0 0 1 1
12172 1407 1994 137.690 1 0 0 0 0 0 0 ... 0 0 0 0 1 0 0 0 0 1
235 2147 1986 87390.540 0 0 1 0 0 0 1 ... 0 0 0 0 0 1 0 0 1 1

17836 rows × 21 columns

In [47]:
# User-defined function to compute different performance metrics to evaluate a classification model built using sklearn
def get_metrics_score(model, flag=True):
    """
    model: classifier to predict values of Y
    """

    # Predict Y using independent variables
    pred_train = model.predict(X_train)
    pred_test = model.predict(X_test)

    # Compute performance metrics
    train_acc = accuracy_score(y_train, pred_train)  # accuracy
    test_acc = accuracy_score(y_test, pred_test)

    train_recall = recall_score(y_train, pred_train)  # recall
    test_recall = recall_score(y_test, pred_test)

    train_precision = precision_score(y_train, pred_train)  # precision
    test_precision = precision_score(y_test, pred_test)

    train_f1 = f1_score(y_train, pred_train)  # f1-score
    test_f1 = f1_score(y_test, pred_test)
    
# Create a dataframe of metrics
    df_perf = pd.DataFrame(
        {
            "Accuracy": [train_acc, test_acc],
            "Recall": [train_recall, test_recall],
            "Precision": [train_precision, test_precision],
            "F1": [train_f1, test_f1],
        },
        index=["Training", "Test"],
    )

    return df_perf
In [48]:
# User-defined function to plot the confusion_matrix of a classification model built using sklearn based on test set
def make_confusion_matrix(model):
    """
    model: classifier to predict values of Y
    """
    y_pred = model.predict(X_test)
    cm = confusion_matrix(y_test, y_pred)
    labels = np.asarray(
        [
            ["{0:0.0f}".format(item) + "\n{0:.2%}".format(item / cm.flatten().sum())]
            for item in cm.flatten()
        ]
    ).reshape(2, 2)

    plt.figure(figsize=(6, 4))
    sns.heatmap(cm, annot=labels, fmt="")
    plt.title("Test Set's Confusion Matrix", fontsize=16)
    plt.ylabel("Actual Label", fontsize=15)
    plt.xlabel("Predicted Label", fontsize=15)
In [49]:
# Create confusion matrix based on test data set
make_confusion_matrix(dtree)

# Check performance of model on both training and test data sets
perf_dcsn_tree = get_metrics_score(dtree)
perf_dcsn_tree
Out[49]:
Accuracy Recall Precision F1
Training 1.000000 1.000000 1.000000 1.00000
Test 0.660911 0.739483 0.755223 0.74727

The Decision tree model with default parameters is overfitting the train data. Let's see if we can reduce overfitting and improve performance on test data by tuning hyperparameters.

Will tuning the hyperparameters improve the model performance?¶

Hyperparameter Tuning¶

In [50]:
# Choose type of classifier
dtree_tuned = DecisionTreeClassifier(random_state=1)

# Form grid of parameters to search in
grid_para = {
    "class_weight": ["balanced", None],
    "max_depth": np.arange(2, 21, 2),
    "max_leaf_nodes": np.arange(2, 21, 2),
    "min_samples_split": [100, 200, 400, 800],
    "min_impurity_decrease": [0.0001, 0.001, 0.01],
}

# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)

# Run GridSearch
grid_obj = GridSearchCV(dtree_tuned, grid_para, scoring=scorer, cv=5)
grid_obj = grid_obj.fit(X_train, y_train)
# Set classifer to best combination of parameters
dtree_tuned = grid_obj.best_estimator_

# Fit best decision tree to training data
dtree_tuned.fit(X_train, y_train)
Out[50]:
DecisionTreeClassifier(max_depth=4, max_leaf_nodes=14,
                       min_impurity_decrease=0.0001, min_samples_split=200,
                       random_state=1)
In [51]:
# Create confusion matrix based on test data set
make_confusion_matrix(dtree_tuned)

# Check performance of model on both training and test data sets
perf_tnd_dcsn_tree = get_metrics_score(dtree_tuned)
perf_tnd_dcsn_tree
Out[51]:
Accuracy Recall Precision F1
Training 0.733404 0.914329 0.743116 0.819880
Test 0.739011 0.910459 0.755001 0.825475

We can notice that the model is not overfitting anymore

In [54]:
print(pd.DataFrame(dtree_tuned.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))

                                        Imp
education_of_employee_High School  0.409805
has_job_experience_Y               0.247649
unit_of_wage_Year                  0.099517
prevailing_wage                    0.079483
continent_Europe                   0.068632
education_of_employee_Master's     0.064915
continent_North America            0.017784
continent_South America            0.006866
education_of_employee_Doctorate    0.005350
region_of_employment_Northeast     0.000000
unit_of_wage_Week                  0.000000
unit_of_wage_Month                 0.000000
region_of_employment_West          0.000000
region_of_employment_South         0.000000
no_of_employees                    0.000000
region_of_employment_Midwest       0.000000
requires_job_training_Y            0.000000
yr_of_estab                        0.000000
continent_Oceania                  0.000000
continent_Asia                     0.000000
full_time_position_Y               0.000000
In [55]:
# Create a list of column names - features of tree
col_names = list(X.columns)

# Check importances of various features of tuned tree
importances = dtree_tuned.feature_importances_
indices = np.argsort(importances)

plt.figure(figsize=(6, 0.5 * len(col_names)))
plt.barh(range(len(indices)), importances[indices], color="violet", align="center")
plt.yticks(range(len(indices)), [col_names[i] for i in indices])
plt.xlabel("Relative Importance", fontsize=15)
plt.ylabel("Feature", fontsize=15)
plt.show()

Education of employee(high_School,Masters, Doctorate),having previous job experience , Europe,NorthAmerica and South America continents are given higher importance.

Bagging Classifier¶

In [56]:
# Use function BaggingClassifier from sklearn to build model
bagging = BaggingClassifier(random_state=1)
bagging.fit(X_train, y_train)
Out[56]:
BaggingClassifier(random_state=1)
In [57]:
# Create confusion matrix based on test data set
make_confusion_matrix(bagging)

# Check performance of model on both training and test data sets
perf_bagging = get_metrics_score(bagging)
perf_bagging
Out[57]:
Accuracy Recall Precision F1
Training 0.984750 0.986059 0.990915 0.988481
Test 0.705128 0.779622 0.784161 0.781885

Bagging is also giving us slightly an overfit model, lets see if hyperparameter tuning can helps us with this overfit.

Bagging Classifier with Hyperparameter Tuning¶

In [58]:
# Choose type of classifier
tnd_bagging = BaggingClassifier(random_state=1)

# Form grid of parameters to search in
grid_para = {
    "max_samples": [0.7, 0.8, 0.9, 1.0],
    "max_features": [0.7, 0.8, 0.9, 1.0],
    "n_estimators": np.arange(20, 101, 20),
}

# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)

# Run GridSearch
grid_obj = GridSearchCV(tnd_bagging, grid_para, scoring=scorer, cv=5, verbose=3)
grid_obj = grid_obj.fit(X_train, y_train)

# Set classifer to best combination of parameters
tnd_bagging = grid_obj.best_estimator_

# Fit best decision tree to training data
tnd_bagging.fit(X_train, y_train)

Fitting 5 folds for each of 80 candidates, totalling 400 fits
[CV 1/5] END max_features=0.7, max_samples=0.7, n_estimators=20;, score=0.790 total time=   0.5s
[CV 2/5] END max_features=0.7, max_samples=0.7, n_estimators=20;, score=0.793 total time=   0.4s
[CV 3/5] END max_features=0.7, max_samples=0.7, n_estimators=20;, score=0.801 total time=   0.4s
[CV 4/5] END max_features=0.7, max_samples=0.7, n_estimators=20;, score=0.800 total time=   0.4s
[CV 5/5] END max_features=0.7, max_samples=0.7, n_estimators=20;, score=0.797 total time=   0.4s
[CV 1/5] END max_features=0.7, max_samples=0.7, n_estimators=40;, score=0.801 total time=   0.8s
[CV 2/5] END max_features=0.7, max_samples=0.7, n_estimators=40;, score=0.804 total time=   0.8s
[CV 3/5] END max_features=0.7, max_samples=0.7, n_estimators=40;, score=0.808 total time=   0.8s
[CV 4/5] END max_features=0.7, max_samples=0.7, n_estimators=40;, score=0.806 total time=   0.8s
[CV 5/5] END max_features=0.7, max_samples=0.7, n_estimators=40;, score=0.807 total time=   0.8s
[CV 1/5] END max_features=0.7, max_samples=0.7, n_estimators=60;, score=0.806 total time=   1.2s
[CV 2/5] END max_features=0.7, max_samples=0.7, n_estimators=60;, score=0.803 total time=   1.2s
[CV 3/5] END max_features=0.7, max_samples=0.7, n_estimators=60;, score=0.816 total time=   1.2s
[CV 4/5] END max_features=0.7, max_samples=0.7, n_estimators=60;, score=0.812 total time=   1.2s
[CV 5/5] END max_features=0.7, max_samples=0.7, n_estimators=60;, score=0.809 total time=   1.2s
[CV 1/5] END max_features=0.7, max_samples=0.7, n_estimators=80;, score=0.805 total time=   1.6s
[CV 2/5] END max_features=0.7, max_samples=0.7, n_estimators=80;, score=0.810 total time=   1.7s
[CV 3/5] END max_features=0.7, max_samples=0.7, n_estimators=80;, score=0.816 total time=   1.8s
[CV 4/5] END max_features=0.7, max_samples=0.7, n_estimators=80;, score=0.813 total time=   1.8s
[CV 5/5] END max_features=0.7, max_samples=0.7, n_estimators=80;, score=0.812 total time=   1.7s
[CV 1/5] END max_features=0.7, max_samples=0.7, n_estimators=100;, score=0.806 total time=   2.0s
[CV 2/5] END max_features=0.7, max_samples=0.7, n_estimators=100;, score=0.810 total time=   2.0s
[CV 3/5] END max_features=0.7, max_samples=0.7, n_estimators=100;, score=0.818 total time=   2.0s
[CV 4/5] END max_features=0.7, max_samples=0.7, n_estimators=100;, score=0.813 total time=   2.1s
[CV 5/5] END max_features=0.7, max_samples=0.7, n_estimators=100;, score=0.812 total time=   2.1s
[CV 1/5] END max_features=0.7, max_samples=0.8, n_estimators=20;, score=0.794 total time=   0.5s
[CV 2/5] END max_features=0.7, max_samples=0.8, n_estimators=20;, score=0.794 total time=   0.5s
[CV 3/5] END max_features=0.7, max_samples=0.8, n_estimators=20;, score=0.794 total time=   0.5s
[CV 4/5] END max_features=0.7, max_samples=0.8, n_estimators=20;, score=0.801 total time=   0.5s
[CV 5/5] END max_features=0.7, max_samples=0.8, n_estimators=20;, score=0.801 total time=   0.5s
[CV 1/5] END max_features=0.7, max_samples=0.8, n_estimators=40;, score=0.801 total time=   0.9s
[CV 2/5] END max_features=0.7, max_samples=0.8, n_estimators=40;, score=0.803 total time=   0.9s
[CV 3/5] END max_features=0.7, max_samples=0.8, n_estimators=40;, score=0.803 total time=   0.9s
[CV 4/5] END max_features=0.7, max_samples=0.8, n_estimators=40;, score=0.811 total time=   0.9s
[CV 5/5] END max_features=0.7, max_samples=0.8, n_estimators=40;, score=0.808 total time=   0.9s
[CV 1/5] END max_features=0.7, max_samples=0.8, n_estimators=60;, score=0.801 total time=   1.3s
[CV 2/5] END max_features=0.7, max_samples=0.8, n_estimators=60;, score=0.806 total time=   1.3s
[CV 3/5] END max_features=0.7, max_samples=0.8, n_estimators=60;, score=0.811 total time=   1.3s
[CV 4/5] END max_features=0.7, max_samples=0.8, n_estimators=60;, score=0.814 total time=   1.3s
[CV 5/5] END max_features=0.7, max_samples=0.8, n_estimators=60;, score=0.813 total time=   1.4s
[CV 1/5] END max_features=0.7, max_samples=0.8, n_estimators=80;, score=0.805 total time=   1.8s
[CV 2/5] END max_features=0.7, max_samples=0.8, n_estimators=80;, score=0.808 total time=   2.2s
[CV 3/5] END max_features=0.7, max_samples=0.8, n_estimators=80;, score=0.814 total time=   1.9s
[CV 4/5] END max_features=0.7, max_samples=0.8, n_estimators=80;, score=0.817 total time=   1.8s
[CV 5/5] END max_features=0.7, max_samples=0.8, n_estimators=80;, score=0.815 total time=   1.8s
[CV 1/5] END max_features=0.7, max_samples=0.8, n_estimators=100;, score=0.802 total time=   2.2s
[CV 2/5] END max_features=0.7, max_samples=0.8, n_estimators=100;, score=0.808 total time=   2.2s
[CV 3/5] END max_features=0.7, max_samples=0.8, n_estimators=100;, score=0.815 total time=   2.5s
[CV 4/5] END max_features=0.7, max_samples=0.8, n_estimators=100;, score=0.816 total time=   2.3s
[CV 5/5] END max_features=0.7, max_samples=0.8, n_estimators=100;, score=0.815 total time=   2.3s
[CV 1/5] END max_features=0.7, max_samples=0.9, n_estimators=20;, score=0.792 total time=   0.5s
[CV 2/5] END max_features=0.7, max_samples=0.9, n_estimators=20;, score=0.797 total time=   0.5s
[CV 3/5] END max_features=0.7, max_samples=0.9, n_estimators=20;, score=0.798 total time=   0.5s
[CV 4/5] END max_features=0.7, max_samples=0.9, n_estimators=20;, score=0.795 total time=   0.5s
[CV 5/5] END max_features=0.7, max_samples=0.9, n_estimators=20;, score=0.792 total time=   0.5s
[CV 1/5] END max_features=0.7, max_samples=0.9, n_estimators=40;, score=0.800 total time=   0.9s
[CV 2/5] END max_features=0.7, max_samples=0.9, n_estimators=40;, score=0.803 total time=   1.0s
[CV 3/5] END max_features=0.7, max_samples=0.9, n_estimators=40;, score=0.808 total time=   1.0s
[CV 4/5] END max_features=0.7, max_samples=0.9, n_estimators=40;, score=0.804 total time=   1.0s
[CV 5/5] END max_features=0.7, max_samples=0.9, n_estimators=40;, score=0.803 total time=   1.0s
[CV 1/5] END max_features=0.7, max_samples=0.9, n_estimators=60;, score=0.806 total time=   1.4s
[CV 2/5] END max_features=0.7, max_samples=0.9, n_estimators=60;, score=0.803 total time=   1.4s
[CV 3/5] END max_features=0.7, max_samples=0.9, n_estimators=60;, score=0.813 total time=   1.5s
[CV 4/5] END max_features=0.7, max_samples=0.9, n_estimators=60;, score=0.809 total time=   1.9s
[CV 5/5] END max_features=0.7, max_samples=0.9, n_estimators=60;, score=0.806 total time=   1.6s
[CV 1/5] END max_features=0.7, max_samples=0.9, n_estimators=80;, score=0.806 total time=   1.9s
[CV 2/5] END max_features=0.7, max_samples=0.9, n_estimators=80;, score=0.806 total time=   1.9s
[CV 3/5] END max_features=0.7, max_samples=0.9, n_estimators=80;, score=0.816 total time=   1.9s
[CV 4/5] END max_features=0.7, max_samples=0.9, n_estimators=80;, score=0.812 total time=   1.9s
[CV 5/5] END max_features=0.7, max_samples=0.9, n_estimators=80;, score=0.810 total time=   1.9s
[CV 1/5] END max_features=0.7, max_samples=0.9, n_estimators=100;, score=0.806 total time=   2.4s
[CV 2/5] END max_features=0.7, max_samples=0.9, n_estimators=100;, score=0.808 total time=   2.4s
[CV 3/5] END max_features=0.7, max_samples=0.9, n_estimators=100;, score=0.816 total time=   2.4s
[CV 4/5] END max_features=0.7, max_samples=0.9, n_estimators=100;, score=0.815 total time=   2.4s
[CV 5/5] END max_features=0.7, max_samples=0.9, n_estimators=100;, score=0.813 total time=   2.4s
[CV 1/5] END max_features=0.7, max_samples=1.0, n_estimators=20;, score=0.790 total time=   0.5s
[CV 2/5] END max_features=0.7, max_samples=1.0, n_estimators=20;, score=0.789 total time=   0.5s
[CV 3/5] END max_features=0.7, max_samples=1.0, n_estimators=20;, score=0.803 total time=   0.5s
[CV 4/5] END max_features=0.7, max_samples=1.0, n_estimators=20;, score=0.799 total time=   0.6s
[CV 5/5] END max_features=0.7, max_samples=1.0, n_estimators=20;, score=0.794 total time=   0.5s
[CV 1/5] END max_features=0.7, max_samples=1.0, n_estimators=40;, score=0.801 total time=   1.0s
[CV 2/5] END max_features=0.7, max_samples=1.0, n_estimators=40;, score=0.802 total time=   1.0s
[CV 3/5] END max_features=0.7, max_samples=1.0, n_estimators=40;, score=0.808 total time=   1.2s
[CV 4/5] END max_features=0.7, max_samples=1.0, n_estimators=40;, score=0.805 total time=   1.3s
[CV 5/5] END max_features=0.7, max_samples=1.0, n_estimators=40;, score=0.801 total time=   1.0s
[CV 1/5] END max_features=0.7, max_samples=1.0, n_estimators=60;, score=0.799 total time=   1.6s
[CV 2/5] END max_features=0.7, max_samples=1.0, n_estimators=60;, score=0.803 total time=   1.5s
[CV 3/5] END max_features=0.7, max_samples=1.0, n_estimators=60;, score=0.813 total time=   1.6s
[CV 4/5] END max_features=0.7, max_samples=1.0, n_estimators=60;, score=0.810 total time=   1.6s
[CV 5/5] END max_features=0.7, max_samples=1.0, n_estimators=60;, score=0.807 total time=   1.6s
[CV 1/5] END max_features=0.7, max_samples=1.0, n_estimators=80;, score=0.803 total time=   2.2s
[CV 2/5] END max_features=0.7, max_samples=1.0, n_estimators=80;, score=0.806 total time=   2.1s
[CV 3/5] END max_features=0.7, max_samples=1.0, n_estimators=80;, score=0.815 total time=   2.1s
[CV 4/5] END max_features=0.7, max_samples=1.0, n_estimators=80;, score=0.813 total time=   2.1s
[CV 5/5] END max_features=0.7, max_samples=1.0, n_estimators=80;, score=0.809 total time=   2.1s
[CV 1/5] END max_features=0.7, max_samples=1.0, n_estimators=100;, score=0.806 total time=   2.6s
[CV 2/5] END max_features=0.7, max_samples=1.0, n_estimators=100;, score=0.809 total time=   2.6s
[CV 3/5] END max_features=0.7, max_samples=1.0, n_estimators=100;, score=0.816 total time=   2.6s
[CV 4/5] END max_features=0.7, max_samples=1.0, n_estimators=100;, score=0.811 total time=   3.1s
[CV 5/5] END max_features=0.7, max_samples=1.0, n_estimators=100;, score=0.810 total time=   2.6s
[CV 1/5] END max_features=0.8, max_samples=0.7, n_estimators=20;, score=0.791 total time=   0.5s
[CV 2/5] END max_features=0.8, max_samples=0.7, n_estimators=20;, score=0.795 total time=   0.5s
[CV 3/5] END max_features=0.8, max_samples=0.7, n_estimators=20;, score=0.799 total time=   0.5s
[CV 4/5] END max_features=0.8, max_samples=0.7, n_estimators=20;, score=0.793 total time=   0.5s
[CV 5/5] END max_features=0.8, max_samples=0.7, n_estimators=20;, score=0.795 total time=   0.5s
[CV 1/5] END max_features=0.8, max_samples=0.7, n_estimators=40;, score=0.800 total time=   0.9s
[CV 2/5] END max_features=0.8, max_samples=0.7, n_estimators=40;, score=0.799 total time=   0.9s
[CV 3/5] END max_features=0.8, max_samples=0.7, n_estimators=40;, score=0.807 total time=   0.9s
[CV 4/5] END max_features=0.8, max_samples=0.7, n_estimators=40;, score=0.807 total time=   0.9s
[CV 5/5] END max_features=0.8, max_samples=0.7, n_estimators=40;, score=0.804 total time=   0.9s
[CV 1/5] END max_features=0.8, max_samples=0.7, n_estimators=60;, score=0.803 total time=   1.3s
[CV 2/5] END max_features=0.8, max_samples=0.7, n_estimators=60;, score=0.804 total time=   1.3s
[CV 3/5] END max_features=0.8, max_samples=0.7, n_estimators=60;, score=0.810 total time=   1.3s
[CV 4/5] END max_features=0.8, max_samples=0.7, n_estimators=60;, score=0.812 total time=   1.3s
[CV 5/5] END max_features=0.8, max_samples=0.7, n_estimators=60;, score=0.806 total time=   1.3s
[CV 1/5] END max_features=0.8, max_samples=0.7, n_estimators=80;, score=0.807 total time=   1.8s
[CV 2/5] END max_features=0.8, max_samples=0.7, n_estimators=80;, score=0.808 total time=   1.8s
[CV 3/5] END max_features=0.8, max_samples=0.7, n_estimators=80;, score=0.811 total time=   1.8s
[CV 4/5] END max_features=0.8, max_samples=0.7, n_estimators=80;, score=0.811 total time=   1.8s
[CV 5/5] END max_features=0.8, max_samples=0.7, n_estimators=80;, score=0.816 total time=   1.8s
[CV 1/5] END max_features=0.8, max_samples=0.7, n_estimators=100;, score=0.807 total time=   2.2s
[CV 2/5] END max_features=0.8, max_samples=0.7, n_estimators=100;, score=0.809 total time=   2.6s
[CV 3/5] END max_features=0.8, max_samples=0.7, n_estimators=100;, score=0.814 total time=   2.4s
[CV 4/5] END max_features=0.8, max_samples=0.7, n_estimators=100;, score=0.814 total time=   2.2s
[CV 5/5] END max_features=0.8, max_samples=0.7, n_estimators=100;, score=0.817 total time=   2.3s
[CV 1/5] END max_features=0.8, max_samples=0.8, n_estimators=20;, score=0.793 total time=   0.5s
[CV 2/5] END max_features=0.8, max_samples=0.8, n_estimators=20;, score=0.794 total time=   0.5s
[CV 3/5] END max_features=0.8, max_samples=0.8, n_estimators=20;, score=0.802 total time=   0.5s
[CV 4/5] END max_features=0.8, max_samples=0.8, n_estimators=20;, score=0.800 total time=   0.5s
[CV 5/5] END max_features=0.8, max_samples=0.8, n_estimators=20;, score=0.794 total time=   0.5s
[CV 1/5] END max_features=0.8, max_samples=0.8, n_estimators=40;, score=0.802 total time=   1.3s
[CV 2/5] END max_features=0.8, max_samples=0.8, n_estimators=40;, score=0.798 total time=   1.0s
[CV 3/5] END max_features=0.8, max_samples=0.8, n_estimators=40;, score=0.810 total time=   1.0s
[CV 4/5] END max_features=0.8, max_samples=0.8, n_estimators=40;, score=0.808 total time=   1.0s
[CV 5/5] END max_features=0.8, max_samples=0.8, n_estimators=40;, score=0.806 total time=   1.0s
[CV 1/5] END max_features=0.8, max_samples=0.8, n_estimators=60;, score=0.808 total time=   1.5s
[CV 2/5] END max_features=0.8, max_samples=0.8, n_estimators=60;, score=0.803 total time=   1.5s
[CV 3/5] END max_features=0.8, max_samples=0.8, n_estimators=60;, score=0.810 total time=   1.5s
[CV 4/5] END max_features=0.8, max_samples=0.8, n_estimators=60;, score=0.810 total time=   1.5s
[CV 5/5] END max_features=0.8, max_samples=0.8, n_estimators=60;, score=0.812 total time=   1.5s
[CV 1/5] END max_features=0.8, max_samples=0.8, n_estimators=80;, score=0.808 total time=   2.0s
[CV 2/5] END max_features=0.8, max_samples=0.8, n_estimators=80;, score=0.808 total time=   2.0s
[CV 3/5] END max_features=0.8, max_samples=0.8, n_estimators=80;, score=0.814 total time=   1.9s
[CV 4/5] END max_features=0.8, max_samples=0.8, n_estimators=80;, score=0.815 total time=   2.3s
[CV 5/5] END max_features=0.8, max_samples=0.8, n_estimators=80;, score=0.812 total time=   2.1s
[CV 1/5] END max_features=0.8, max_samples=0.8, n_estimators=100;, score=0.806 total time=   2.5s
[CV 2/5] END max_features=0.8, max_samples=0.8, n_estimators=100;, score=0.810 total time=   2.4s
[CV 3/5] END max_features=0.8, max_samples=0.8, n_estimators=100;, score=0.813 total time=   2.4s
[CV 4/5] END max_features=0.8, max_samples=0.8, n_estimators=100;, score=0.815 total time=   2.5s
[CV 5/5] END max_features=0.8, max_samples=0.8, n_estimators=100;, score=0.811 total time=   2.5s
[CV 1/5] END max_features=0.8, max_samples=0.9, n_estimators=20;, score=0.792 total time=   0.5s
[CV 2/5] END max_features=0.8, max_samples=0.9, n_estimators=20;, score=0.798 total time=   0.5s
[CV 3/5] END max_features=0.8, max_samples=0.9, n_estimators=20;, score=0.799 total time=   0.5s
[CV 4/5] END max_features=0.8, max_samples=0.9, n_estimators=20;, score=0.795 total time=   0.5s
[CV 5/5] END max_features=0.8, max_samples=0.9, n_estimators=20;, score=0.792 total time=   0.5s
[CV 1/5] END max_features=0.8, max_samples=0.9, n_estimators=40;, score=0.797 total time=   1.1s
[CV 2/5] END max_features=0.8, max_samples=0.9, n_estimators=40;, score=0.802 total time=   1.1s
[CV 3/5] END max_features=0.8, max_samples=0.9, n_estimators=40;, score=0.807 total time=   1.1s
[CV 4/5] END max_features=0.8, max_samples=0.9, n_estimators=40;, score=0.805 total time=   1.1s
[CV 5/5] END max_features=0.8, max_samples=0.9, n_estimators=40;, score=0.803 total time=   1.1s
[CV 1/5] END max_features=0.8, max_samples=0.9, n_estimators=60;, score=0.800 total time=   1.6s
[CV 2/5] END max_features=0.8, max_samples=0.9, n_estimators=60;, score=0.803 total time=   1.6s
[CV 3/5] END max_features=0.8, max_samples=0.9, n_estimators=60;, score=0.807 total time=   1.6s
[CV 4/5] END max_features=0.8, max_samples=0.9, n_estimators=60;, score=0.807 total time=   1.6s
[CV 5/5] END max_features=0.8, max_samples=0.9, n_estimators=60;, score=0.809 total time=   1.6s
[CV 1/5] END max_features=0.8, max_samples=0.9, n_estimators=80;, score=0.805 total time=   2.3s
[CV 2/5] END max_features=0.8, max_samples=0.9, n_estimators=80;, score=0.807 total time=   2.7s
[CV 3/5] END max_features=0.8, max_samples=0.9, n_estimators=80;, score=0.812 total time=   2.4s
[CV 4/5] END max_features=0.8, max_samples=0.9, n_estimators=80;, score=0.809 total time=   2.7s
[CV 5/5] END max_features=0.8, max_samples=0.9, n_estimators=80;, score=0.811 total time=   2.2s
[CV 1/5] END max_features=0.8, max_samples=0.9, n_estimators=100;, score=0.803 total time=   2.9s
[CV 2/5] END max_features=0.8, max_samples=0.9, n_estimators=100;, score=0.806 total time=   2.8s
[CV 3/5] END max_features=0.8, max_samples=0.9, n_estimators=100;, score=0.813 total time=   3.4s
[CV 4/5] END max_features=0.8, max_samples=0.9, n_estimators=100;, score=0.810 total time=   3.1s
[CV 5/5] END max_features=0.8, max_samples=0.9, n_estimators=100;, score=0.810 total time=   3.2s
[CV 1/5] END max_features=0.8, max_samples=1.0, n_estimators=20;, score=0.788 total time=   0.6s
[CV 2/5] END max_features=0.8, max_samples=1.0, n_estimators=20;, score=0.796 total time=   0.7s
[CV 3/5] END max_features=0.8, max_samples=1.0, n_estimators=20;, score=0.797 total time=   0.7s
[CV 4/5] END max_features=0.8, max_samples=1.0, n_estimators=20;, score=0.799 total time=   0.7s
[CV 5/5] END max_features=0.8, max_samples=1.0, n_estimators=20;, score=0.796 total time=   0.6s
[CV 1/5] END max_features=0.8, max_samples=1.0, n_estimators=40;, score=0.795 total time=   1.1s
[CV 2/5] END max_features=0.8, max_samples=1.0, n_estimators=40;, score=0.800 total time=   1.1s
[CV 3/5] END max_features=0.8, max_samples=1.0, n_estimators=40;, score=0.805 total time=   1.2s
[CV 4/5] END max_features=0.8, max_samples=1.0, n_estimators=40;, score=0.806 total time=   1.2s
[CV 5/5] END max_features=0.8, max_samples=1.0, n_estimators=40;, score=0.806 total time=   1.2s
[CV 1/5] END max_features=0.8, max_samples=1.0, n_estimators=60;, score=0.801 total time=   1.8s
[CV 2/5] END max_features=0.8, max_samples=1.0, n_estimators=60;, score=0.805 total time=   1.7s
[CV 3/5] END max_features=0.8, max_samples=1.0, n_estimators=60;, score=0.806 total time=   1.7s
[CV 4/5] END max_features=0.8, max_samples=1.0, n_estimators=60;, score=0.807 total time=   1.7s
[CV 5/5] END max_features=0.8, max_samples=1.0, n_estimators=60;, score=0.806 total time=   1.7s
[CV 1/5] END max_features=0.8, max_samples=1.0, n_estimators=80;, score=0.804 total time=   2.2s
[CV 2/5] END max_features=0.8, max_samples=1.0, n_estimators=80;, score=0.805 total time=   2.3s
[CV 3/5] END max_features=0.8, max_samples=1.0, n_estimators=80;, score=0.808 total time=   2.3s
[CV 4/5] END max_features=0.8, max_samples=1.0, n_estimators=80;, score=0.810 total time=   2.3s
[CV 5/5] END max_features=0.8, max_samples=1.0, n_estimators=80;, score=0.810 total time=   2.4s
[CV 1/5] END max_features=0.8, max_samples=1.0, n_estimators=100;, score=0.802 total time=   3.0s
[CV 2/5] END max_features=0.8, max_samples=1.0, n_estimators=100;, score=0.805 total time=   3.1s
[CV 3/5] END max_features=0.8, max_samples=1.0, n_estimators=100;, score=0.809 total time=   2.9s
[CV 4/5] END max_features=0.8, max_samples=1.0, n_estimators=100;, score=0.809 total time=   3.3s
[CV 5/5] END max_features=0.8, max_samples=1.0, n_estimators=100;, score=0.811 total time=   3.1s
[CV 1/5] END max_features=0.9, max_samples=0.7, n_estimators=20;, score=0.792 total time=   0.5s
[CV 2/5] END max_features=0.9, max_samples=0.7, n_estimators=20;, score=0.793 total time=   0.6s
[CV 3/5] END max_features=0.9, max_samples=0.7, n_estimators=20;, score=0.795 total time=   0.6s
[CV 4/5] END max_features=0.9, max_samples=0.7, n_estimators=20;, score=0.797 total time=   0.6s
[CV 5/5] END max_features=0.9, max_samples=0.7, n_estimators=20;, score=0.792 total time=   0.5s
[CV 1/5] END max_features=0.9, max_samples=0.7, n_estimators=40;, score=0.799 total time=   1.0s
[CV 2/5] END max_features=0.9, max_samples=0.7, n_estimators=40;, score=0.795 total time=   1.0s
[CV 3/5] END max_features=0.9, max_samples=0.7, n_estimators=40;, score=0.805 total time=   1.0s
[CV 4/5] END max_features=0.9, max_samples=0.7, n_estimators=40;, score=0.806 total time=   1.0s
[CV 5/5] END max_features=0.9, max_samples=0.7, n_estimators=40;, score=0.804 total time=   1.1s
[CV 1/5] END max_features=0.9, max_samples=0.7, n_estimators=60;, score=0.799 total time=   1.6s
[CV 2/5] END max_features=0.9, max_samples=0.7, n_estimators=60;, score=0.800 total time=   1.5s
[CV 3/5] END max_features=0.9, max_samples=0.7, n_estimators=60;, score=0.807 total time=   1.5s
[CV 4/5] END max_features=0.9, max_samples=0.7, n_estimators=60;, score=0.808 total time=   1.7s
[CV 5/5] END max_features=0.9, max_samples=0.7, n_estimators=60;, score=0.806 total time=   1.5s
[CV 1/5] END max_features=0.9, max_samples=0.7, n_estimators=80;, score=0.802 total time=   2.0s
[CV 2/5] END max_features=0.9, max_samples=0.7, n_estimators=80;, score=0.804 total time=   2.0s
[CV 3/5] END max_features=0.9, max_samples=0.7, n_estimators=80;, score=0.811 total time=   2.0s
[CV 4/5] END max_features=0.9, max_samples=0.7, n_estimators=80;, score=0.810 total time=   2.0s
[CV 5/5] END max_features=0.9, max_samples=0.7, n_estimators=80;, score=0.812 total time=   2.0s
[CV 1/5] END max_features=0.9, max_samples=0.7, n_estimators=100;, score=0.802 total time=   2.5s
[CV 2/5] END max_features=0.9, max_samples=0.7, n_estimators=100;, score=0.807 total time=   2.4s
[CV 3/5] END max_features=0.9, max_samples=0.7, n_estimators=100;, score=0.810 total time=   2.4s
[CV 4/5] END max_features=0.9, max_samples=0.7, n_estimators=100;, score=0.809 total time=   2.6s
[CV 5/5] END max_features=0.9, max_samples=0.7, n_estimators=100;, score=0.812 total time=   2.6s
[CV 1/5] END max_features=0.9, max_samples=0.8, n_estimators=20;, score=0.790 total time=   0.6s
[CV 2/5] END max_features=0.9, max_samples=0.8, n_estimators=20;, score=0.791 total time=   0.5s
[CV 3/5] END max_features=0.9, max_samples=0.8, n_estimators=20;, score=0.790 total time=   0.5s
[CV 4/5] END max_features=0.9, max_samples=0.8, n_estimators=20;, score=0.797 total time=   0.6s
[CV 5/5] END max_features=0.9, max_samples=0.8, n_estimators=20;, score=0.797 total time=   0.5s
[CV 1/5] END max_features=0.9, max_samples=0.8, n_estimators=40;, score=0.796 total time=   1.1s
[CV 2/5] END max_features=0.9, max_samples=0.8, n_estimators=40;, score=0.796 total time=   1.1s
[CV 3/5] END max_features=0.9, max_samples=0.8, n_estimators=40;, score=0.803 total time=   1.2s
[CV 4/5] END max_features=0.9, max_samples=0.8, n_estimators=40;, score=0.803 total time=   1.2s
[CV 5/5] END max_features=0.9, max_samples=0.8, n_estimators=40;, score=0.806 total time=   1.7s
[CV 1/5] END max_features=0.9, max_samples=0.8, n_estimators=60;, score=0.799 total time=   1.8s
[CV 2/5] END max_features=0.9, max_samples=0.8, n_estimators=60;, score=0.800 total time=   1.7s
[CV 3/5] END max_features=0.9, max_samples=0.8, n_estimators=60;, score=0.809 total time=   1.7s
[CV 4/5] END max_features=0.9, max_samples=0.8, n_estimators=60;, score=0.806 total time=   1.7s
[CV 5/5] END max_features=0.9, max_samples=0.8, n_estimators=60;, score=0.807 total time=   1.7s
[CV 1/5] END max_features=0.9, max_samples=0.8, n_estimators=80;, score=0.797 total time=   2.4s
[CV 2/5] END max_features=0.9, max_samples=0.8, n_estimators=80;, score=0.802 total time=   2.3s
[CV 3/5] END max_features=0.9, max_samples=0.8, n_estimators=80;, score=0.810 total time=   2.3s
[CV 4/5] END max_features=0.9, max_samples=0.8, n_estimators=80;, score=0.807 total time=   2.3s
[CV 5/5] END max_features=0.9, max_samples=0.8, n_estimators=80;, score=0.810 total time=   2.2s
[CV 1/5] END max_features=0.9, max_samples=0.8, n_estimators=100;, score=0.799 total time=   2.8s
[CV 2/5] END max_features=0.9, max_samples=0.8, n_estimators=100;, score=0.803 total time=   2.7s
[CV 3/5] END max_features=0.9, max_samples=0.8, n_estimators=100;, score=0.814 total time=   2.7s
[CV 4/5] END max_features=0.9, max_samples=0.8, n_estimators=100;, score=0.807 total time=   3.1s
[CV 5/5] END max_features=0.9, max_samples=0.8, n_estimators=100;, score=0.809 total time=   2.8s
[CV 1/5] END max_features=0.9, max_samples=0.9, n_estimators=20;, score=0.786 total time=   0.6s
[CV 2/5] END max_features=0.9, max_samples=0.9, n_estimators=20;, score=0.793 total time=   0.6s
[CV 3/5] END max_features=0.9, max_samples=0.9, n_estimators=20;, score=0.790 total time=   0.6s
[CV 4/5] END max_features=0.9, max_samples=0.9, n_estimators=20;, score=0.789 total time=   0.6s
[CV 5/5] END max_features=0.9, max_samples=0.9, n_estimators=20;, score=0.793 total time=   0.7s
[CV 1/5] END max_features=0.9, max_samples=0.9, n_estimators=40;, score=0.795 total time=   1.2s
[CV 2/5] END max_features=0.9, max_samples=0.9, n_estimators=40;, score=0.801 total time=   1.2s
[CV 3/5] END max_features=0.9, max_samples=0.9, n_estimators=40;, score=0.798 total time=   1.2s
[CV 4/5] END max_features=0.9, max_samples=0.9, n_estimators=40;, score=0.801 total time=   1.2s
[CV 5/5] END max_features=0.9, max_samples=0.9, n_estimators=40;, score=0.804 total time=   1.2s
[CV 1/5] END max_features=0.9, max_samples=0.9, n_estimators=60;, score=0.799 total time=   1.8s
[CV 2/5] END max_features=0.9, max_samples=0.9, n_estimators=60;, score=0.802 total time=   2.0s
[CV 3/5] END max_features=0.9, max_samples=0.9, n_estimators=60;, score=0.804 total time=   1.9s
[CV 4/5] END max_features=0.9, max_samples=0.9, n_estimators=60;, score=0.805 total time=   1.9s
[CV 5/5] END max_features=0.9, max_samples=0.9, n_estimators=60;, score=0.810 total time=   1.8s
[CV 1/5] END max_features=0.9, max_samples=0.9, n_estimators=80;, score=0.799 total time=   2.3s
[CV 2/5] END max_features=0.9, max_samples=0.9, n_estimators=80;, score=0.802 total time=   2.3s
[CV 3/5] END max_features=0.9, max_samples=0.9, n_estimators=80;, score=0.806 total time=   2.4s
[CV 4/5] END max_features=0.9, max_samples=0.9, n_estimators=80;, score=0.807 total time=   2.7s
[CV 5/5] END max_features=0.9, max_samples=0.9, n_estimators=80;, score=0.811 total time=   2.5s
[CV 1/5] END max_features=0.9, max_samples=0.9, n_estimators=100;, score=0.801 total time=   3.0s
[CV 2/5] END max_features=0.9, max_samples=0.9, n_estimators=100;, score=0.803 total time=   3.2s
[CV 3/5] END max_features=0.9, max_samples=0.9, n_estimators=100;, score=0.803 total time=   3.0s
[CV 4/5] END max_features=0.9, max_samples=0.9, n_estimators=100;, score=0.810 total time=   3.0s
[CV 5/5] END max_features=0.9, max_samples=0.9, n_estimators=100;, score=0.810 total time=   3.0s
[CV 1/5] END max_features=0.9, max_samples=1.0, n_estimators=20;, score=0.783 total time=   0.7s
[CV 2/5] END max_features=0.9, max_samples=1.0, n_estimators=20;, score=0.794 total time=   0.7s
[CV 3/5] END max_features=0.9, max_samples=1.0, n_estimators=20;, score=0.794 total time=   0.7s
[CV 4/5] END max_features=0.9, max_samples=1.0, n_estimators=20;, score=0.791 total time=   0.7s
[CV 5/5] END max_features=0.9, max_samples=1.0, n_estimators=20;, score=0.800 total time=   0.7s
[CV 1/5] END max_features=0.9, max_samples=1.0, n_estimators=40;, score=0.794 total time=   1.3s
[CV 2/5] END max_features=0.9, max_samples=1.0, n_estimators=40;, score=0.800 total time=   1.3s
[CV 3/5] END max_features=0.9, max_samples=1.0, n_estimators=40;, score=0.798 total time=   1.3s
[CV 4/5] END max_features=0.9, max_samples=1.0, n_estimators=40;, score=0.799 total time=   1.3s
[CV 5/5] END max_features=0.9, max_samples=1.0, n_estimators=40;, score=0.810 total time=   1.3s
[CV 1/5] END max_features=0.9, max_samples=1.0, n_estimators=60;, score=0.797 total time=   2.1s
[CV 2/5] END max_features=0.9, max_samples=1.0, n_estimators=60;, score=0.801 total time=   2.0s
[CV 3/5] END max_features=0.9, max_samples=1.0, n_estimators=60;, score=0.800 total time=   1.9s
[CV 4/5] END max_features=0.9, max_samples=1.0, n_estimators=60;, score=0.806 total time=   2.0s
[CV 5/5] END max_features=0.9, max_samples=1.0, n_estimators=60;, score=0.810 total time=   1.9s
[CV 1/5] END max_features=0.9, max_samples=1.0, n_estimators=80;, score=0.798 total time=   2.5s
[CV 2/5] END max_features=0.9, max_samples=1.0, n_estimators=80;, score=0.802 total time=   2.5s
[CV 3/5] END max_features=0.9, max_samples=1.0, n_estimators=80;, score=0.805 total time=   2.6s
[CV 4/5] END max_features=0.9, max_samples=1.0, n_estimators=80;, score=0.807 total time=   2.6s
[CV 5/5] END max_features=0.9, max_samples=1.0, n_estimators=80;, score=0.810 total time=   2.5s
[CV 1/5] END max_features=0.9, max_samples=1.0, n_estimators=100;, score=0.799 total time=   3.3s
[CV 2/5] END max_features=0.9, max_samples=1.0, n_estimators=100;, score=0.805 total time=   3.1s
[CV 3/5] END max_features=0.9, max_samples=1.0, n_estimators=100;, score=0.805 total time=   3.2s
[CV 4/5] END max_features=0.9, max_samples=1.0, n_estimators=100;, score=0.809 total time=   3.2s
[CV 5/5] END max_features=0.9, max_samples=1.0, n_estimators=100;, score=0.809 total time=   3.2s
[CV 1/5] END max_features=1.0, max_samples=0.7, n_estimators=20;, score=0.782 total time=   0.6s
[CV 2/5] END max_features=1.0, max_samples=0.7, n_estimators=20;, score=0.793 total time=   1.0s
[CV 3/5] END max_features=1.0, max_samples=0.7, n_estimators=20;, score=0.790 total time=   0.6s
[CV 4/5] END max_features=1.0, max_samples=0.7, n_estimators=20;, score=0.785 total time=   0.6s
[CV 5/5] END max_features=1.0, max_samples=0.7, n_estimators=20;, score=0.790 total time=   0.6s
[CV 1/5] END max_features=1.0, max_samples=0.7, n_estimators=40;, score=0.788 total time=   1.1s
[CV 2/5] END max_features=1.0, max_samples=0.7, n_estimators=40;, score=0.800 total time=   1.1s
[CV 3/5] END max_features=1.0, max_samples=0.7, n_estimators=40;, score=0.799 total time=   1.1s
[CV 4/5] END max_features=1.0, max_samples=0.7, n_estimators=40;, score=0.794 total time=   1.2s
[CV 5/5] END max_features=1.0, max_samples=0.7, n_estimators=40;, score=0.799 total time=   1.1s
[CV 1/5] END max_features=1.0, max_samples=0.7, n_estimators=60;, score=0.790 total time=   1.7s
[CV 2/5] END max_features=1.0, max_samples=0.7, n_estimators=60;, score=0.800 total time=   1.7s
[CV 3/5] END max_features=1.0, max_samples=0.7, n_estimators=60;, score=0.802 total time=   1.7s
[CV 4/5] END max_features=1.0, max_samples=0.7, n_estimators=60;, score=0.798 total time=   1.7s
[CV 5/5] END max_features=1.0, max_samples=0.7, n_estimators=60;, score=0.803 total time=   1.7s
[CV 1/5] END max_features=1.0, max_samples=0.7, n_estimators=80;, score=0.789 total time=   2.3s
[CV 2/5] END max_features=1.0, max_samples=0.7, n_estimators=80;, score=0.803 total time=   2.4s
[CV 3/5] END max_features=1.0, max_samples=0.7, n_estimators=80;, score=0.803 total time=   2.3s
[CV 4/5] END max_features=1.0, max_samples=0.7, n_estimators=80;, score=0.801 total time=   2.3s
[CV 5/5] END max_features=1.0, max_samples=0.7, n_estimators=80;, score=0.806 total time=   2.2s
[CV 1/5] END max_features=1.0, max_samples=0.7, n_estimators=100;, score=0.793 total time=   2.8s
[CV 2/5] END max_features=1.0, max_samples=0.7, n_estimators=100;, score=0.802 total time=   2.8s
[CV 3/5] END max_features=1.0, max_samples=0.7, n_estimators=100;, score=0.806 total time=   2.8s
[CV 4/5] END max_features=1.0, max_samples=0.7, n_estimators=100;, score=0.803 total time=   2.8s
[CV 5/5] END max_features=1.0, max_samples=0.7, n_estimators=100;, score=0.804 total time=   2.8s
[CV 1/5] END max_features=1.0, max_samples=0.8, n_estimators=20;, score=0.783 total time=   0.7s
[CV 2/5] END max_features=1.0, max_samples=0.8, n_estimators=20;, score=0.787 total time=   0.7s
[CV 3/5] END max_features=1.0, max_samples=0.8, n_estimators=20;, score=0.783 total time=   0.6s
[CV 4/5] END max_features=1.0, max_samples=0.8, n_estimators=20;, score=0.789 total time=   0.7s
[CV 5/5] END max_features=1.0, max_samples=0.8, n_estimators=20;, score=0.792 total time=   0.6s
[CV 1/5] END max_features=1.0, max_samples=0.8, n_estimators=40;, score=0.791 total time=   1.2s
[CV 2/5] END max_features=1.0, max_samples=0.8, n_estimators=40;, score=0.796 total time=   1.2s
[CV 3/5] END max_features=1.0, max_samples=0.8, n_estimators=40;, score=0.793 total time=   1.3s
[CV 4/5] END max_features=1.0, max_samples=0.8, n_estimators=40;, score=0.796 total time=   1.2s
[CV 5/5] END max_features=1.0, max_samples=0.8, n_estimators=40;, score=0.795 total time=   1.2s
[CV 1/5] END max_features=1.0, max_samples=0.8, n_estimators=60;, score=0.790 total time=   1.9s
[CV 2/5] END max_features=1.0, max_samples=0.8, n_estimators=60;, score=0.796 total time=   1.9s
[CV 3/5] END max_features=1.0, max_samples=0.8, n_estimators=60;, score=0.796 total time=   1.8s
[CV 4/5] END max_features=1.0, max_samples=0.8, n_estimators=60;, score=0.799 total time=   1.9s
[CV 5/5] END max_features=1.0, max_samples=0.8, n_estimators=60;, score=0.799 total time=   2.0s
[CV 1/5] END max_features=1.0, max_samples=0.8, n_estimators=80;, score=0.790 total time=   2.5s
[CV 2/5] END max_features=1.0, max_samples=0.8, n_estimators=80;, score=0.799 total time=   2.5s
[CV 3/5] END max_features=1.0, max_samples=0.8, n_estimators=80;, score=0.801 total time=   2.5s
[CV 4/5] END max_features=1.0, max_samples=0.8, n_estimators=80;, score=0.802 total time=   2.5s
[CV 5/5] END max_features=1.0, max_samples=0.8, n_estimators=80;, score=0.800 total time=   2.5s
[CV 1/5] END max_features=1.0, max_samples=0.8, n_estimators=100;, score=0.792 total time=   3.1s
[CV 2/5] END max_features=1.0, max_samples=0.8, n_estimators=100;, score=0.801 total time=   3.1s
[CV 3/5] END max_features=1.0, max_samples=0.8, n_estimators=100;, score=0.802 total time=   3.2s
[CV 4/5] END max_features=1.0, max_samples=0.8, n_estimators=100;, score=0.802 total time=   3.1s
[CV 5/5] END max_features=1.0, max_samples=0.8, n_estimators=100;, score=0.802 total time=   3.1s
[CV 1/5] END max_features=1.0, max_samples=0.9, n_estimators=20;, score=0.783 total time=   0.7s
[CV 2/5] END max_features=1.0, max_samples=0.9, n_estimators=20;, score=0.788 total time=   0.7s
[CV 3/5] END max_features=1.0, max_samples=0.9, n_estimators=20;, score=0.792 total time=   0.7s
[CV 4/5] END max_features=1.0, max_samples=0.9, n_estimators=20;, score=0.789 total time=   0.7s
[CV 5/5] END max_features=1.0, max_samples=0.9, n_estimators=20;, score=0.790 total time=   0.7s
[CV 1/5] END max_features=1.0, max_samples=0.9, n_estimators=40;, score=0.792 total time=   1.3s
[CV 2/5] END max_features=1.0, max_samples=0.9, n_estimators=40;, score=0.795 total time=   1.4s
[CV 3/5] END max_features=1.0, max_samples=0.9, n_estimators=40;, score=0.797 total time=   1.4s
[CV 4/5] END max_features=1.0, max_samples=0.9, n_estimators=40;, score=0.789 total time=   1.3s
[CV 5/5] END max_features=1.0, max_samples=0.9, n_estimators=40;, score=0.796 total time=   1.3s
[CV 1/5] END max_features=1.0, max_samples=0.9, n_estimators=60;, score=0.793 total time=   2.0s
[CV 2/5] END max_features=1.0, max_samples=0.9, n_estimators=60;, score=0.798 total time=   2.0s
[CV 3/5] END max_features=1.0, max_samples=0.9, n_estimators=60;, score=0.797 total time=   2.1s
[CV 4/5] END max_features=1.0, max_samples=0.9, n_estimators=60;, score=0.797 total time=   2.0s
[CV 5/5] END max_features=1.0, max_samples=0.9, n_estimators=60;, score=0.797 total time=   2.0s
[CV 1/5] END max_features=1.0, max_samples=0.9, n_estimators=80;, score=0.793 total time=   2.7s
[CV 2/5] END max_features=1.0, max_samples=0.9, n_estimators=80;, score=0.800 total time=   2.8s
[CV 3/5] END max_features=1.0, max_samples=0.9, n_estimators=80;, score=0.797 total time=   2.8s
[CV 4/5] END max_features=1.0, max_samples=0.9, n_estimators=80;, score=0.797 total time=   3.0s
[CV 5/5] END max_features=1.0, max_samples=0.9, n_estimators=80;, score=0.802 total time=   2.8s
[CV 1/5] END max_features=1.0, max_samples=0.9, n_estimators=100;, score=0.796 total time=   3.6s
[CV 2/5] END max_features=1.0, max_samples=0.9, n_estimators=100;, score=0.800 total time=   3.4s
[CV 3/5] END max_features=1.0, max_samples=0.9, n_estimators=100;, score=0.798 total time=   3.4s
[CV 4/5] END max_features=1.0, max_samples=0.9, n_estimators=100;, score=0.799 total time=   3.4s
[CV 5/5] END max_features=1.0, max_samples=0.9, n_estimators=100;, score=0.802 total time=   3.4s
[CV 1/5] END max_features=1.0, max_samples=1.0, n_estimators=20;, score=0.780 total time=   0.7s
[CV 2/5] END max_features=1.0, max_samples=1.0, n_estimators=20;, score=0.786 total time=   0.7s
[CV 3/5] END max_features=1.0, max_samples=1.0, n_estimators=20;, score=0.782 total time=   0.8s
[CV 4/5] END max_features=1.0, max_samples=1.0, n_estimators=20;, score=0.789 total time=   0.7s
[CV 5/5] END max_features=1.0, max_samples=1.0, n_estimators=20;, score=0.788 total time=   0.7s
[CV 1/5] END max_features=1.0, max_samples=1.0, n_estimators=40;, score=0.785 total time=   1.5s
[CV 2/5] END max_features=1.0, max_samples=1.0, n_estimators=40;, score=0.794 total time=   1.5s
[CV 3/5] END max_features=1.0, max_samples=1.0, n_estimators=40;, score=0.792 total time=   1.5s
[CV 4/5] END max_features=1.0, max_samples=1.0, n_estimators=40;, score=0.793 total time=   1.5s
[CV 5/5] END max_features=1.0, max_samples=1.0, n_estimators=40;, score=0.797 total time=   1.5s
[CV 1/5] END max_features=1.0, max_samples=1.0, n_estimators=60;, score=0.786 total time=   2.3s
[CV 2/5] END max_features=1.0, max_samples=1.0, n_estimators=60;, score=0.798 total time=   2.3s
[CV 3/5] END max_features=1.0, max_samples=1.0, n_estimators=60;, score=0.796 total time=   2.1s
[CV 4/5] END max_features=1.0, max_samples=1.0, n_estimators=60;, score=0.797 total time=   2.2s
[CV 5/5] END max_features=1.0, max_samples=1.0, n_estimators=60;, score=0.797 total time=   2.2s
[CV 1/5] END max_features=1.0, max_samples=1.0, n_estimators=80;, score=0.791 total time=   3.0s
[CV 2/5] END max_features=1.0, max_samples=1.0, n_estimators=80;, score=0.797 total time=   2.8s
[CV 3/5] END max_features=1.0, max_samples=1.0, n_estimators=80;, score=0.797 total time=   2.9s
[CV 4/5] END max_features=1.0, max_samples=1.0, n_estimators=80;, score=0.797 total time=   2.9s
[CV 5/5] END max_features=1.0, max_samples=1.0, n_estimators=80;, score=0.800 total time=   3.0s
[CV 1/5] END max_features=1.0, max_samples=1.0, n_estimators=100;, score=0.790 total time=   4.0s
[CV 2/5] END max_features=1.0, max_samples=1.0, n_estimators=100;, score=0.798 total time=   3.8s
[CV 3/5] END max_features=1.0, max_samples=1.0, n_estimators=100;, score=0.795 total time=   3.8s
[CV 4/5] END max_features=1.0, max_samples=1.0, n_estimators=100;, score=0.796 total time=   3.8s
[CV 5/5] END max_features=1.0, max_samples=1.0, n_estimators=100;, score=0.799 total time=   3.7s
Out[58]:
BaggingClassifier(max_features=0.8, max_samples=0.7, n_estimators=100,
                  random_state=1)

Best combination¶

BaggingClassifier(max_features=0.8, max_samples=0.7, n_estimators=100, random_state=1)

In [60]:
# Create confusion matrix based on test data set
make_confusion_matrix(tnd_bagging)

# Check performance of model on both training and test data sets
perf_tnd_bagging = get_metrics_score(tnd_bagging)
perf_tnd_bagging
Out[60]:
Accuracy Recall Precision F1
Training 0.996244 0.999747 0.994620 0.997177
Test 0.735086 0.880741 0.764361 0.818435

Eventhought Recall, precisiona and F1 score has improved, the model still tends to be overfit.

Random Forest Model¶

In [61]:
rf_estimator=RandomForestClassifier(random_state=1)
rf_estimator.fit(X_train,y_train)
Out[61]:
RandomForestClassifier(random_state=1)
In [62]:
# Create confusion matrix based on test data set
make_confusion_matrix(rf_estimator)

# Check performance of model on both training and test data sets
perf_rf_tree = get_metrics_score(rf_estimator)
perf_rf_tree
Out[62]:
Accuracy Recall Precision F1
Training 0.999944 1.00000 0.999916 0.999958
Test 0.730638 0.84176 0.778790 0.809051

Random forest gives us an overfit model.

Hyperparameter Tuning¶

In [63]:
# Choose the type of classifier. 
rf_tuned = RandomForestClassifier(oob_score=True, random_state=1)

# Form grid of parameters to search in
grid_para = {
    "class_weight": ["balanced", None],
    "max_samples": [0.7, 0.8, 0.9, 1.0],
    "max_depth": np.arange(1, 5, 1),
    "max_features": ["sqrt", "log2"],
    "min_samples_split": [100, 200, 400, 800],
    "n_estimators": np.arange(20, 110, 20),
}

# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)
# Run GridSearch
grid_obj = GridSearchCV(rf_tuned, grid_para, scoring=scorer, cv=5, verbose=3)
grid_obj = grid_obj.fit(X_train, y_train)

# Set classifer to best combination of parameters
rf_tuned = grid_obj.best_estimator_

# Fit best decision tree to training data
rf_tuned.fit(X_train, y_train)

Fitting 5 folds for each of 1280 candidates, totalling 6400 fits
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.777 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.777 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.777 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.777 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.778 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.778 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.778 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.778 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.809 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.779 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.779 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.809 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.779 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.785 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.809 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.779 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.777 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.777 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.777 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.777 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.778 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.778 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.778 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.778 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.809 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.779 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.779 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.809 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.779 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.809 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.779 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.802 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.810 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.799 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.796 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.803 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.796 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.805 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.804 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.805 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.804 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.804 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.805 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.804 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.800 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.797 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.797 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.786 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.797 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.797 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.797 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.799 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.796 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.803 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.797 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.805 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.804 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.805 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.804 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.796 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.805 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.804 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.800 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.797 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.797 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.790 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.797 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.797 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.799 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.786 total time=   0.6s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.796 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.798 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.803 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.786 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.797 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.796 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.786 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.795 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.797 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.789 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.788 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.797 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.789 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.788 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.793 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.795 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.793 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.798 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.778 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.790 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.790 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.799 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.787 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.789 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.796 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.789 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.787 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.794 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.796 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.792 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.783 total time=   0.6s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.770 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.795 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.794 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.797 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.797 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.798 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.797 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.798 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.790 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.788 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.787 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.782 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.788 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.793 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.785 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.788 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.787 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.798 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.784 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.787 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.772 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.793 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.809 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.780 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.788 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.798 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.797 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.786 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.784 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.795 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.786 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.793 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.787 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.798 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.784 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.792 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.795 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.809 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.785 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.795 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.784 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.780 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.797 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.789 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.788 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.797 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.789 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.788 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.782 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.795 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.793 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.795 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.796 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.793 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.798 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.778 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.790 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.790 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.799 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.787 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.789 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.796 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.789 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.787 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.794 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.796 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.792 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.770 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.795 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.794 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.797 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.797 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.6s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.798 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.796 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.797 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.790 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.788 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.787 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.782 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.788 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.793 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.785 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.785 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.788 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.787 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.798 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.784 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.787 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.772 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.793 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.809 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.780 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.788 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.798 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.783 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.797 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.786 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.792 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.784 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.795 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.786 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.794 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.796 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.795 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.794 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.795 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.797 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.787 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.798 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.784 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.793 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.793 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.792 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.795 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.809 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.785 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.794 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.793 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.784 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.793 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.794 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.795 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.784 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.780 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.794 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.793 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.793 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.787 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.775 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.781 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.797 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.779 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.780 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.789 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.787 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.786 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.776 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.792 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.789 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.789 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.789 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.790 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.775 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.777 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.788 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.797 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.784 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.790 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.797 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.774 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.778 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.788 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.781 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.791 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.780 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.787 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.787 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.778 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.792 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.788 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.789 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.773 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.764 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.796 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.786 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.772 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.787 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.788 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.783 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.787 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.777 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.789 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.789 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.788 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.778 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.790 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.789 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.768 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.779 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.778 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.792 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.790 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.779 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.791 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.785 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.775 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.785 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.778 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.791 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.789 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.786 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.789 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.778 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.791 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.790 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.784 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.773 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.788 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.793 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.796 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.795 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.790 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.780 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.787 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.780 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.791 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.791 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.790 total time=   0.8s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.783 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.790 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.791 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.750 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.779 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.788 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.796 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.793 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.793 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.792 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.797 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.786 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.779 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.789 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.787 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.776 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.788 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.791 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.789 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.778 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.790 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.789 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.765 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.777 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.789 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.788 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.786 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.774 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.779 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.768 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.788 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.788 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.778 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.787 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.788 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.785 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.788 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.776 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.789 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.789 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.782 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.789 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.791 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.763 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.783 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.775 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.792 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.788 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.772 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.788 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.777 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.778 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.791 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.792 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.788 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.787 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.790 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.780 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.791 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.789 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.779 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.791 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.773 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.789 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.787 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.788 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.789 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.777 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.790 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.784 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.782 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.789 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.778 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.785 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.789 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.781 total time=   0.6s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.791 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.790 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.765 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.775 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.789 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.791 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.786 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.788 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.789 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.797 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.788 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.777 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.785 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.788 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.781 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.786 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.785 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.780 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.765 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.780 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.792 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.790 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.785 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.778 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.781 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.796 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.789 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.777 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.787 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.788 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.788 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.782 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.791 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.788 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.778 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.790 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.790 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.776 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.775 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.790 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.788 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.781 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.772 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.779 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.791 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.786 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.788 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.780 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.790 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.778 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.790 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.792 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.788 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.787 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.779 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.789 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.788 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.781 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.787 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.792 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.791 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.791 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.790 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.788 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.791 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.788 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.781 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.790 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.785 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.789 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.787 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.781 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.792 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.789 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.782 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.788 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.777 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.780 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.788 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.791 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.789 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.788 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.782 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.797 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.788 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.781 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.781 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.786 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.786 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.791 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.779 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.785 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.789 total time=   0.6s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.781 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.789 total time=   1.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.6s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.791 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.764 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.779 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.790 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.789 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.787 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.786 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.777 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.789 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.796 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.789 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.777 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.787 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.788 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.780 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.777 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.787 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.789 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.781 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.791 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.796 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.789 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.789 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.782 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.792 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.792 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.789 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.778 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.781 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.789 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.779 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.788 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.789 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.788 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.789 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.781 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.790 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.788 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.789 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.787 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.775 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.795 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.795 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.781 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.794 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.779 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.780 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.789 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.786 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.776 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.792 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.789 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.789 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.790 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.789 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.790 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.775 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.777 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.793 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.788 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.797 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.784 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.790 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.797 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.774 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.778 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.788 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.781 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.795 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.791 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.780 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.6s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.787 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.787 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.778 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.792 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.788 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.789 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.792 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.773 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.764 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.796 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.786 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.772 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.787 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.788 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.783 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.787 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.777 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.788 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.789 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.789 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.788 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.778 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.790 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.789 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.792 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.768 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.779 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.778 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.792 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.790 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.779 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.791 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.785 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.775 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.785 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.778 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.791 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.791 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.789 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.786 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.789 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.778 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.791 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.790 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.785 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.784 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.773 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.788 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.793 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.796 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.795 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.790 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.780 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.787 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.780 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.791 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.791 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.790 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.783 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.790 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.791 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.750 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.779 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.788 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.796 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.793 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.793 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.792 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.797 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.786 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.779 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.789 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.787 total time=   0.6s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.787 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.776 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.788 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.7s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.791 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.789 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.778 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.790 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.789 total time=   0.6s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.765 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.777 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.789 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.788 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.786 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.774 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.779 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.768 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.788 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.788 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.778 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.787 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.788 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.785 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.788 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.776 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.789 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.789 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.782 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.793 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.789 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.791 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.763 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.783 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.775 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.792 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.788 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.772 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.783 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.788 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.795 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.777 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.778 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.791 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.792 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.788 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.787 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.790 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.780 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.791 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.789 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.779 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.791 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.773 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.794 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.789 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.787 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.788 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.789 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.777 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.790 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.784 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.782 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.789 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.778 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.784 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.785 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.789 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.781 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.791 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.790 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.792 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.765 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.775 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.789 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.791 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.786 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.788 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.789 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.797 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.788 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.777 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.788 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.785 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.788 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.781 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.786 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.785 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.780 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.765 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.780 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.792 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.790 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.785 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.778 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.781 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.796 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.789 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.777 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.787 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.788 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.792 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.788 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.782 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.791 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.794 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.788 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.778 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.795 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.790 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.776 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.775 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.790 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.788 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.781 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.772 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.779 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.793 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.791 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.786 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.788 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.780 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.790 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.778 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.790 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.792 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.788 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.787 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.779 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.789 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.788 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.781 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.787 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.792 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.791 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.791 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.790 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.788 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.794 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.795 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.791 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.788 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.781 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.790 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.785 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.789 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.787 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.781 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.792 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.790 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.789 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.782 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.793 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.788 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.794 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.777 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.780 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.788 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.791 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.789 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.788 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.782 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.797 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.797 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.788 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.781 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.781 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.786 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.786 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.791 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.779 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.784 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.794 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.785 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.789 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.781 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.789 total time=   0.8s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.788 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.791 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.764 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.779 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.790 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.789 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.787 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.786 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.777 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.789 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.796 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.796 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.789 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.777 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.787 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.788 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.780 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.792 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.777 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.795 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.787 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.789 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.781 total time=   0.5s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.791 total time=   0.5s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.796 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.789 total time=   0.5s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.789 total time=   0.1s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.782 total time=   0.1s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.792 total time=   0.1s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.792 total time=   0.1s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.789 total time=   0.1s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.791 total time=   0.2s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.782 total time=   0.2s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.2s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.792 total time=   0.2s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.793 total time=   0.2s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.778 total time=   0.3s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.781 total time=   0.3s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.789 total time=   0.3s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.787 total time=   0.3s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.779 total time=   0.3s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.788 total time=   0.4s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.782 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.789 total time=   0.4s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.788 total time=   0.4s
[CV 1/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.789 total time=   0.5s
[CV 2/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.781 total time=   0.4s
[CV 3/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.790 total time=   0.4s
[CV 4/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.788 total time=   0.5s
[CV 5/5] END class_weight=balanced, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.789 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.5s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.798 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.799 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.800 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=1, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.798 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.802 total time=   1.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.804 total time=   0.5s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.804 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.804 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.802 total time=   0.7s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.805 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.807 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.804 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.803 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.804 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.807 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.804 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.807 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.803 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.804 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.806 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.802 total time=   0.5s
[CV 4/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.805 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.804 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.804 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.804 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.802 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.805 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.807 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.805 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.5s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.805 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.799 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.7s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.804 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.803 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.804 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.807 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.804 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.802 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.807 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.803 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.804 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.806 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.802 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.805 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.800 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.800 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.801 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.803 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.806 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.799 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.804 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.800 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.801 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.802 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.804 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.799 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.801 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.802 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.804 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.800 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.802 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.804 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=2, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.801 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.814 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.823 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.821 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.822 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.806 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.819 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.816 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.808 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.809 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.810 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.819 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.814 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.808 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.809 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.820 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.814 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.814 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.822 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.814 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.806 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.810 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.808 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.809 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.812 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.809 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.820 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.817 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.821 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.816 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.820 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.809 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.819 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.820 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.813 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.809 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.818 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.807 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.807 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.814 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.806 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.807 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.813 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.816 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.805 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.808 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.813 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.814 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.813 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.819 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.820 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.813 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.821 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.807 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.819 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.806 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.809 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.808 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.820 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.814 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.822 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.808 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.810 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.805 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.809 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.820 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.816 total time=   0.5s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.807 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.814 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.822 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.813 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.819 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.809 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.814 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.818 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.809 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.817 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.805 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.809 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.813 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.810 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.805 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.808 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.814 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.805 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.807 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.814 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.815 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.809 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.820 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.816 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.823 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.815 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.809 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.815 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.806 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.815 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.809 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.815 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.816 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.815 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.813 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.809 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.813 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.815 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.806 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.815 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.814 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.813 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.812 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.809 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.815 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.820 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.816 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.816 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.810 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.813 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.814 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.808 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.810 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.815 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.818 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.809 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.816 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.806 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.815 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.816 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.817 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.813 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.816 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.809 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.813 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.806 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.814 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.815 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.817 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.815 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.819 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.814 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.823 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.817 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.812 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.818 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.809 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.814 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.818 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.817 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.820 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.817 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.816 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.818 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.819 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.815 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.806 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.810 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.816 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.816 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.806 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.808 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.812 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.818 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.814 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.806 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.822 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.817 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.817 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.814 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.823 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.821 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.806 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.819 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.816 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.808 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.809 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.810 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.819 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.814 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.808 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.809 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.820 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.814 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.814 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.822 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.814 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.806 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.810 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.808 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.809 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.812 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.809 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.820 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.816 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.820 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.809 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.819 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.820 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.813 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.809 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.818 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.807 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.807 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.814 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.806 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.807 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.813 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.816 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.805 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.808 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.813 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.814 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.813 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.819 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.820 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.813 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.821 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.807 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.819 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.806 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.809 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.808 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.810 total time=   0.5s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.5s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.820 total time=   0.5s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.819 total time=   0.5s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.814 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.808 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.810 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.805 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.809 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.820 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.818 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.807 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.814 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.813 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.819 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.809 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.814 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.818 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.809 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.817 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.805 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.809 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.813 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.810 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.805 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.808 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.814 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.805 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.807 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.814 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.815 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.809 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.820 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.816 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.823 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.809 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.815 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.806 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.815 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.809 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.815 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.816 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.810 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.815 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.813 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.809 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.813 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.815 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.806 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.815 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.814 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.813 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.808 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.809 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.815 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.820 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.820 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.816 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.816 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.810 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.813 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.814 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.808 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.810 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.815 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.818 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.813 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.809 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.816 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.806 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.815 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.816 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.817 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.813 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.816 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.809 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.809 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.813 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.806 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.814 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.815 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.807 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.821 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.817 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.815 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.819 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.814 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.823 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.819 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.812 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.818 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.809 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.814 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.818 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.817 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.820 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.817 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.816 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.818 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.819 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.815 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.808 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.806 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.810 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.816 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.816 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.806 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.808 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.812 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.818 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.814 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.806 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.822 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.817 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=3, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.817 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.827 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.816 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.815 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.828 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.817 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.821 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.828 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.820 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.829 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.816 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.829 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.829 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.819 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.828 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.820 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.818 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.5s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.823 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.826 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.817 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.823 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.816 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.811 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.824 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.814 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.811 total time=   0.5s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.813 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.829 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.817 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.816 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.825 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.824 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.814 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.822 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.816 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.826 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.817 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.814 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.826 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.817 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.824 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.817 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.826 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.826 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.820 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.810 total time=   0.5s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.829 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.821 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.828 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.821 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.827 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.817 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.829 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.821 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.817 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.830 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.820 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.820 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.823 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.814 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.824 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.827 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.817 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.815 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.828 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.815 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.824 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.815 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.822 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.814 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.812 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.813 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.826 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.816 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.813 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.826 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.826 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.817 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.829 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.816 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.829 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.812 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.817 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.831 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.821 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.829 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.820 total time=   0.5s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.828 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.816 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.830 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.828 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.820 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.820 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.815 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.825 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.814 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.819 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.813 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.828 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.818 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.828 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.818 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.820 total time=   0.5s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.5s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.826 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.820 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.815 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.812 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.826 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.820 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.811 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.812 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.829 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.828 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.820 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.5s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.819 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.829 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.830 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.830 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.819 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.819 total time=   0.5s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.831 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.820 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.828 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.822 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.828 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.821 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.817 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.829 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.819 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.818 total time=   0.5s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.810 total time=   0.6s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.6s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.830 total time=   0.5s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.821 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.819 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.825 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.816 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.827 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.815 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.829 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.816 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.828 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.826 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.819 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.824 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.811 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.822 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.808 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.814 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.810 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.825 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.812 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.827 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=sqrt, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.827 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=20;, score=0.818 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.816 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.815 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=60;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.828 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.817 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=80;, score=0.821 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.828 total time=   0.5s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=100, n_estimators=100;, score=0.820 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.829 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.816 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.829 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.829 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=60;, score=0.819 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.828 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.820 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=80;, score=0.818 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.823 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.826 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=40;, score=0.817 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.823 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.816 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=60;, score=0.811 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.824 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=80;, score=0.814 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.813 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.829 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=400, n_estimators=100;, score=0.817 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.809 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.816 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.825 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.824 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=40;, score=0.814 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.822 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.817 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=60;, score=0.816 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.811 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.826 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=80;, score=0.817 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.814 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.826 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.817 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.7, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.824 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.810 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.817 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.826 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=40;, score=0.819 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.815 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.826 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=60;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.816 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.829 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=80;, score=0.821 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.828 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=100, n_estimators=100;, score=0.821 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.827 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.817 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.829 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=60;, score=0.821 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.817 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.830 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=80;, score=0.820 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.6s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=200, n_estimators=100;, score=0.820 total time=   0.5s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.823 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.816 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=20;, score=0.819 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.814 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.824 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.827 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.817 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=80;, score=0.815 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.828 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.5s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.822 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=20;, score=0.815 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.815 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.824 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=40;, score=0.815 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.822 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=60;, score=0.814 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.812 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.813 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.826 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=80;, score=0.816 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.813 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.826 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.8, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.826 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.817 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.829 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.816 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.829 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=60;, score=0.820 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.831 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=80;, score=0.821 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.829 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=100, n_estimators=100;, score=0.820 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.828 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.816 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.830 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.828 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.816 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.830 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=80;, score=0.820 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=200, n_estimators=100;, score=0.820 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.815 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.825 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.817 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.812 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.814 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=40;, score=0.819 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.813 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.828 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=60;, score=0.818 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.812 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.828 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=80;, score=0.818 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.820 total time=   0.5s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.821 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.813 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.826 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.820 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=40;, score=0.815 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.812 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.811 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.826 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.820 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=60;, score=0.811 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.812 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.812 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.829 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=80;, score=0.815 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.812 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.6s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.828 total time=   0.6s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.820 total time=   0.6s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=0.9, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.5s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.811 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.819 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.829 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.830 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.830 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.817 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=60;, score=0.819 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.819 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.831 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=80;, score=0.820 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.5s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.828 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=100, n_estimators=100;, score=0.822 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.812 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.828 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=20;, score=0.821 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.817 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.829 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.817 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=40;, score=0.820 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.816 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.827 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.818 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=60;, score=0.819 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=80;, score=0.818 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.810 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.818 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.830 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=200, n_estimators=100;, score=0.821 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.808 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.819 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.825 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.818 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=20;, score=0.821 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.816 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.827 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=40;, score=0.818 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.827 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.817 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=60;, score=0.815 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.811 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.815 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.829 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=80;, score=0.816 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.811 total time=   0.4s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.817 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.828 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.819 total time=   0.5s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=400, n_estimators=100;, score=0.818 total time=   0.6s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.810 total time=   0.1s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.817 total time=   0.1s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.826 total time=   0.1s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.819 total time=   0.1s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=20;, score=0.820 total time=   0.1s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.811 total time=   0.2s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.812 total time=   0.2s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.824 total time=   0.2s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.819 total time=   0.2s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=40;, score=0.811 total time=   0.2s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.810 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.811 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.822 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.819 total time=   0.3s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=60;, score=0.808 total time=   0.3s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.814 total time=   0.3s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.810 total time=   0.3s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.825 total time=   0.3s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.818 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=80;, score=0.812 total time=   0.4s
[CV 1/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.812 total time=   0.5s
[CV 2/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.816 total time=   0.4s
[CV 3/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.827 total time=   0.4s
[CV 4/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.819 total time=   0.4s
[CV 5/5] END class_weight=None, max_depth=4, max_features=log2, max_samples=1.0, min_samples_split=800, n_estimators=100;, score=0.818 total time=   0.4s
Out[63]:
RandomForestClassifier(max_depth=4, max_features='sqrt', max_samples=0.9,
                       min_samples_split=100, n_estimators=80, oob_score=True,
                       random_state=1)
Best hyperparametere combination¶

RandomForestClassifier(max_depth=4, max_features='sqrt', max_samples=0.9, min_samples_split=100, n_estimators=80, oob_score=True, random_state=1)

In [64]:
# Create confusion matrix based on test data set
make_confusion_matrix(rf_tuned)

# Check performance of model on both training and test data sets
perf_tnd_rndm_frst = get_metrics_score(rf_tuned)
perf_tnd_rndm_frst
Out[64]:
Accuracy Recall Precision F1
Training 0.732732 0.920581 0.740067 0.820513
Test 0.739534 0.921266 0.750983 0.827455

Hyperparameter tuning has solved the overfit issue - Recall and F1 score value is increased. Accuracy of test data is also improved slightly

In [65]:
print(pd.DataFrame(rf_tuned.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))

                                        Imp
education_of_employee_High School  0.300197
prevailing_wage                    0.147402
has_job_experience_Y               0.147363
education_of_employee_Master's     0.128260
unit_of_wage_Year                  0.106116
education_of_employee_Doctorate    0.057216
continent_Europe                   0.037555
region_of_employment_Midwest       0.016598
region_of_employment_West          0.013343
continent_North America            0.009420
continent_Asia                     0.009000
region_of_employment_South         0.006389
region_of_employment_Northeast     0.005664
yr_of_estab                        0.005264
no_of_employees                    0.003269
continent_South America            0.002650
unit_of_wage_Week                  0.001209
full_time_position_Y               0.001122
requires_job_training_Y            0.000839
continent_Oceania                  0.000595
unit_of_wage_Month                 0.000529
In [66]:
feature_names = X_train.columns 
importances = rf_tuned.feature_importances_
indices = np.argsort(importances)

plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(indices)), importances[indices], color='violet', align='center')
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel('Relative Importance')
plt.show()

Apart from important features from decision tree we have Region of employment (Midwest,West,South,Northeast), continet asia and south america , yr_of_estab, no_of_employees , unit_of_wage_week full_time_position are added extra for Random Forest model

Boosting - Model Building and Hyperparameter Tuning¶

AdaBoost Regressor¶

In [67]:
ada_boost = AdaBoostClassifier(random_state=1)
ada_boost.fit(X_train, y_train)
Out[67]:
AdaBoostClassifier(random_state=1)
In [68]:
# Create confusion matrix based on test data set
make_confusion_matrix(ada_boost)

# Check performance of model on both training and test data sets
perf_ada_boost = get_metrics_score(ada_boost)
perf_ada_boost
Out[68]:
Accuracy Recall Precision F1
Training 0.736880 0.886110 0.758187 0.817172
Test 0.738488 0.885951 0.765294 0.821215

We notice that adaboost model is not showing overfit data.

Hyperparameter Tuning¶

In [69]:
# Choose type of classifier
tnd_ada_boost = AdaBoostClassifier(random_state=1)

# Form grid of parameters to search in
grid_para = {
    "base_estimator": [
        DecisionTreeClassifier(max_depth=1),
        DecisionTreeClassifier(max_depth=2),
        DecisionTreeClassifier(max_depth=3),
    ],
    "n_estimators": np.arange(20, 110, 20),
    "learning_rate": np.arange(0.2, 1.1, 0.2),
}

# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)

# Run GridSearch
grid_obj = GridSearchCV(tnd_ada_boost, grid_para, scoring=scorer, cv=5)
grid_obj = grid_obj.fit(X_train, y_train)

# Set classifer to best combination of parameters
tnd_ada_boost = grid_obj.best_estimator_

# Fit best decision tree to training data
tnd_ada_boost.fit(X_train, y_train)
Out[69]:
AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=3),
                   learning_rate=0.4, n_estimators=20, random_state=1)

Best combination hyperparameter¶

AdaBoostClassifier(base_estimator=DecisionTreeClassifier(max_depth=3), learning_rate=0.4, n_estimators=20, random_state=1)

In [70]:
# Create confusion matrix based on test data set
make_confusion_matrix(tnd_ada_boost)

# Check performance of model on both training and test data sets
perf_tnd_ada_boost = get_metrics_score(tnd_ada_boost)
perf_tnd_ada_boost
Out[70]:
Accuracy Recall Precision F1
Training 0.752915 0.882224 0.776068 0.825748
Test 0.747776 0.873408 0.780614 0.824408
In [71]:
print(pd.DataFrame(tnd_ada_boost.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))

                                        Imp
prevailing_wage                    0.160766
no_of_employees                    0.142372
education_of_employee_High School  0.095309
education_of_employee_Master's     0.082934
has_job_experience_Y               0.079658
education_of_employee_Doctorate    0.065912
requires_job_training_Y            0.062376
continent_Europe                   0.049693
yr_of_estab                        0.041660
region_of_employment_Midwest       0.039637
continent_South America            0.037248
region_of_employment_South         0.031968
region_of_employment_West          0.024322
full_time_position_Y               0.023134
unit_of_wage_Year                  0.021076
continent_North America            0.018097
region_of_employment_Northeast     0.009467
continent_Oceania                  0.009036
continent_Asia                     0.005335
unit_of_wage_Month                 0.000000
unit_of_wage_Week                  0.000000
In [72]:
feature_names = X_train.columns
importances = tnd_ada_boost.feature_importances_
indices = np.argsort(importances)

plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(indices)), importances[indices], color='violet', align='center')
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel('Relative Importance')
plt.show()

We notice that the important feature is changed here as prevailing_wage is the most important factor in adaboost hyperparameter tuning.

Gradient Boosting Regressor¶

In [73]:
# Use function GradientBoostingClassifier from sklearn to build model
grdnt_boost = GradientBoostingClassifier(random_state=1)
grdnt_boost.fit(X_train, y_train)
Out[73]:
GradientBoostingClassifier(random_state=1)
In [74]:
# Create confusion matrix based on test data set
make_confusion_matrix(grdnt_boost)

# Check performance of model on both training and test data sets
perf_grdnt_boost = get_metrics_score(grdnt_boost)
perf_grdnt_boost
Out[74]:
Accuracy Recall Precision F1
Training 0.755382 0.875972 0.781724 0.826168
Test 0.750392 0.868391 0.785889 0.825083

Accuracy , recall and precision , f1 are similar to adaboost hyperparameter tuning

Hyperparameter Tuning¶

In [75]:
# Choose type of classifier
tnd_grdnt_boost = GradientBoostingClassifier(
    init=AdaBoostClassifier(random_state=1), random_state=1
)

# Form grid of parameters to search in
grid_para = {
    "subsample": [0.8, 0.9, 1.0],
    "max_features": [0.8, 0.9, 1.0],
    "n_estimators": np.arange(20, 110, 20),
    "learning_rate": np.arange(0.2, 1.1, 0.2),
}

# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)
# Run GridSearch
grid_obj = GridSearchCV(tnd_grdnt_boost, grid_para, scoring=scorer, cv=5, verbose=3)
grid_obj = grid_obj.fit(X_train, y_train)

# Set classifer to best combination of parameters
tnd_grdnt_boost = grid_obj.best_estimator_

# Fit best decision tree to training data
tnd_grdnt_boost.fit(X_train, y_train)

Fitting 5 folds for each of 225 candidates, totalling 1125 fits
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.819 total time=   0.6s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.822 total time=   0.5s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.828 total time=   0.6s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.826 total time=   0.5s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.824 total time=   0.5s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.817 total time=   0.6s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.818 total time=   0.5s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.827 total time=   0.5s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.824 total time=   0.5s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.824 total time=   0.5s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.815 total time=   0.6s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.817 total time=   0.6s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.824 total time=   0.6s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.824 total time=   0.5s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.824 total time=   0.5s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.818 total time=   0.7s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.818 total time=   0.7s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.822 total time=   0.7s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.826 total time=   0.8s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.826 total time=   0.9s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.817 total time=   0.9s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.816 total time=   0.9s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.825 total time=   0.7s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.823 total time=   0.7s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.824 total time=   0.7s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.815 total time=   0.7s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.816 total time=   0.8s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.825 total time=   0.8s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.822 total time=   0.8s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.823 total time=   0.7s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.816 total time=   0.9s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.819 total time=   0.9s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.819 total time=   0.9s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.822 total time=   0.9s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.823 total time=   0.9s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.818 total time=   0.9s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.816 total time=   0.9s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.824 total time=   0.9s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.822 total time=   0.9s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.823 total time=   0.9s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.816 total time=   1.0s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.816 total time=   0.9s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.823 total time=   0.9s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.822 total time=   0.9s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.822 total time=   0.9s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.816 total time=   1.1s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.818 total time=   1.1s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.818 total time=   1.0s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.823 total time=   1.0s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.823 total time=   1.1s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.818 total time=   1.1s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.814 total time=   1.1s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.823 total time=   1.4s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.823 total time=   1.2s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.820 total time=   1.1s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.815 total time=   1.1s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.816 total time=   1.1s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.823 total time=   1.1s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.821 total time=   1.1s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.821 total time=   1.2s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.816 total time=   1.2s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.817 total time=   1.2s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.818 total time=   1.2s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.824 total time=   1.2s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.822 total time=   1.2s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.818 total time=   1.3s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.816 total time=   1.3s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.820 total time=   1.3s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.822 total time=   1.3s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.821 total time=   1.3s
[CV 1/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.816 total time=   1.3s
[CV 2/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.816 total time=   1.3s
[CV 3/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.822 total time=   1.4s
[CV 4/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.820 total time=   1.3s
[CV 5/5] END learning_rate=0.2, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.820 total time=   1.3s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.816 total time=   0.5s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.818 total time=   0.6s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.826 total time=   0.5s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.824 total time=   0.6s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.822 total time=   0.6s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.816 total time=   0.6s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.817 total time=   0.8s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.825 total time=   0.6s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.822 total time=   0.6s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.824 total time=   0.6s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.815 total time=   0.7s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.819 total time=   0.6s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.825 total time=   0.6s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.824 total time=   0.6s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.822 total time=   0.6s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.817 total time=   0.7s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.817 total time=   0.7s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.824 total time=   0.7s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.825 total time=   0.7s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.824 total time=   0.8s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.816 total time=   0.8s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.816 total time=   0.8s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.824 total time=   0.7s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.823 total time=   0.8s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.823 total time=   0.8s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.819 total time=   0.8s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.816 total time=   0.8s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.824 total time=   0.8s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.823 total time=   1.0s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.824 total time=   0.9s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.815 total time=   1.0s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.817 total time=   1.0s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.823 total time=   1.1s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.822 total time=   1.2s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.822 total time=   0.9s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.815 total time=   1.0s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.815 total time=   1.6s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.823 total time=   1.9s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.822 total time=   1.1s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.823 total time=   1.2s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.819 total time=   1.2s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.817 total time=   1.1s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.822 total time=   1.0s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.822 total time=   1.0s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.823 total time=   1.0s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.815 total time=   1.1s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.815 total time=   1.1s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.822 total time=   1.2s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.823 total time=   1.2s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.821 total time=   1.1s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.813 total time=   1.2s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.814 total time=   1.2s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.820 total time=   1.1s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.822 total time=   1.2s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.820 total time=   1.2s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.818 total time=   1.2s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.818 total time=   1.2s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.820 total time=   1.2s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.821 total time=   1.2s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.820 total time=   1.2s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.813 total time=   1.3s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.813 total time=   1.3s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.819 total time=   1.3s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.823 total time=   1.3s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.820 total time=   1.3s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.812 total time=   1.7s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.814 total time=   1.7s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.818 total time=   1.4s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.822 total time=   1.4s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.819 total time=   1.4s
[CV 1/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.814 total time=   1.4s
[CV 2/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.817 total time=   1.4s
[CV 3/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.819 total time=   1.4s
[CV 4/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.821 total time=   1.4s
[CV 5/5] END learning_rate=0.2, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.819 total time=   1.4s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.817 total time=   0.6s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.822 total time=   0.6s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.826 total time=   0.6s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.824 total time=   0.6s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.826 total time=   0.6s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.816 total time=   0.6s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.818 total time=   0.6s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.825 total time=   0.6s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.825 total time=   0.6s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.825 total time=   0.6s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.814 total time=   0.6s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.818 total time=   0.6s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.824 total time=   0.6s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.823 total time=   0.6s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.825 total time=   0.6s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.816 total time=   0.8s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.818 total time=   0.8s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.824 total time=   0.8s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.825 total time=   0.8s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.824 total time=   0.8s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.815 total time=   0.8s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.817 total time=   0.8s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.824 total time=   0.8s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.824 total time=   0.9s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.823 total time=   1.0s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.815 total time=   1.1s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.819 total time=   0.8s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.824 total time=   0.8s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.823 total time=   0.8s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.824 total time=   0.8s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.817 total time=   1.0s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.818 total time=   1.0s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.823 total time=   1.0s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.823 total time=   1.0s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.823 total time=   1.0s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.816 total time=   1.1s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.818 total time=   1.0s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.822 total time=   1.1s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.824 total time=   1.1s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.820 total time=   1.1s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.815 total time=   1.1s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.819 total time=   1.1s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.823 total time=   1.1s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.822 total time=   1.1s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.822 total time=   1.1s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.816 total time=   1.2s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.818 total time=   1.2s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.822 total time=   1.2s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.821 total time=   1.4s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.820 total time=   1.5s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.815 total time=   1.3s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.816 total time=   1.3s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.820 total time=   1.6s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.825 total time=   1.4s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.819 total time=   1.3s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.813 total time=   1.3s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.819 total time=   1.4s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.820 total time=   1.3s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.822 total time=   1.3s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.820 total time=   1.3s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.815 total time=   1.4s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.816 total time=   1.4s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.820 total time=   1.4s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.821 total time=   1.4s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.818 total time=   1.4s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.813 total time=   1.5s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.816 total time=   1.5s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.821 total time=   1.5s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.822 total time=   1.7s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.818 total time=   1.5s
[CV 1/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.812 total time=   1.6s
[CV 2/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.818 total time=   1.5s
[CV 3/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.821 total time=   1.6s
[CV 4/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.817 total time=   1.7s
[CV 5/5] END learning_rate=0.2, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.820 total time=   2.0s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.817 total time=   0.6s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.815 total time=   0.5s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.827 total time=   0.5s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.821 total time=   0.5s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.821 total time=   0.5s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.816 total time=   0.5s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.816 total time=   0.5s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.821 total time=   0.5s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.823 total time=   0.6s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.824 total time=   0.6s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.814 total time=   0.6s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.816 total time=   0.6s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.825 total time=   0.6s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.822 total time=   0.6s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.823 total time=   0.5s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.816 total time=   1.0s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.811 total time=   0.7s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.822 total time=   0.7s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.821 total time=   0.7s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.818 total time=   0.7s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.812 total time=   0.7s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.815 total time=   0.7s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.822 total time=   0.7s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.823 total time=   0.7s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.818 total time=   0.8s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.811 total time=   0.9s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.817 total time=   0.8s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.822 total time=   0.7s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.823 total time=   0.8s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.818 total time=   0.8s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.813 total time=   1.0s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.813 total time=   0.9s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.820 total time=   0.9s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.820 total time=   0.9s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.819 total time=   0.9s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.808 total time=   0.9s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.812 total time=   0.9s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.820 total time=   0.9s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.822 total time=   1.4s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.816 total time=   0.9s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.808 total time=   1.0s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.817 total time=   0.9s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.822 total time=   1.0s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.821 total time=   0.9s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.820 total time=   1.0s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.810 total time=   1.1s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.811 total time=   1.1s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.818 total time=   1.2s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.818 total time=   1.0s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.815 total time=   1.0s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.808 total time=   1.1s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.812 total time=   1.1s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.819 total time=   1.1s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.818 total time=   1.1s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.817 total time=   1.1s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.807 total time=   1.1s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.814 total time=   1.1s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.819 total time=   1.1s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.818 total time=   1.2s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.819 total time=   1.5s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.807 total time=   1.4s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.809 total time=   1.2s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.817 total time=   1.2s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.818 total time=   1.2s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.811 total time=   1.3s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.804 total time=   1.6s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.807 total time=   1.3s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.819 total time=   1.3s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.816 total time=   1.4s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.816 total time=   1.5s
[CV 1/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.806 total time=   1.3s
[CV 2/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.810 total time=   1.4s
[CV 3/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.816 total time=   1.3s
[CV 4/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.814 total time=   1.3s
[CV 5/5] END learning_rate=0.4, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.816 total time=   1.4s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.818 total time=   0.6s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.817 total time=   0.6s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.826 total time=   0.6s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.822 total time=   0.6s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.822 total time=   0.6s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.814 total time=   0.6s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.816 total time=   0.6s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.826 total time=   0.6s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.821 total time=   0.6s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.824 total time=   0.6s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.815 total time=   0.6s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.818 total time=   0.6s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.823 total time=   0.6s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.823 total time=   0.6s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.824 total time=   0.7s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.814 total time=   0.7s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.815 total time=   0.8s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.820 total time=   0.7s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.822 total time=   0.7s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.820 total time=   0.7s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.812 total time=   0.8s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.812 total time=   0.7s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.820 total time=   0.7s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.822 total time=   0.8s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.821 total time=   1.0s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.814 total time=   0.9s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.816 total time=   0.9s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.819 total time=   0.8s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.820 total time=   0.8s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.821 total time=   0.8s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.811 total time=   1.1s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.809 total time=   1.0s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.819 total time=   0.9s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.818 total time=   1.0s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.819 total time=   1.0s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.809 total time=   1.0s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.811 total time=   1.0s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.816 total time=   1.0s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.821 total time=   1.0s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.817 total time=   1.0s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.812 total time=   1.0s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.816 total time=   1.0s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.819 total time=   1.2s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.820 total time=   1.0s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.818 total time=   1.1s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.806 total time=   1.3s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.806 total time=   1.2s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.815 total time=   1.1s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.813 total time=   1.2s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.815 total time=   1.1s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.807 total time=   1.1s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.810 total time=   1.1s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.816 total time=   1.1s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.819 total time=   1.2s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.817 total time=   1.4s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.811 total time=   1.2s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.814 total time=   1.2s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.817 total time=   1.2s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.816 total time=   1.2s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.820 total time=   1.2s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.806 total time=   1.4s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.808 total time=   1.3s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.813 total time=   1.3s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.815 total time=   1.3s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.809 total time=   1.3s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.805 total time=   1.3s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.811 total time=   1.3s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.817 total time=   1.3s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.816 total time=   1.3s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.817 total time=   1.4s
[CV 1/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.809 total time=   1.4s
[CV 2/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.811 total time=   1.4s
[CV 3/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.815 total time=   1.4s
[CV 4/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.813 total time=   1.4s
[CV 5/5] END learning_rate=0.4, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.817 total time=   1.4s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.815 total time=   0.6s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.817 total time=   0.6s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.823 total time=   0.6s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.821 total time=   0.8s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.822 total time=   0.6s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.815 total time=   0.7s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.818 total time=   0.6s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.822 total time=   0.6s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.823 total time=   0.6s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.823 total time=   0.6s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.816 total time=   0.6s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.818 total time=   0.6s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.823 total time=   0.6s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.823 total time=   0.6s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.823 total time=   0.6s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.812 total time=   0.8s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.816 total time=   0.8s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.818 total time=   0.8s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.819 total time=   0.8s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.818 total time=   0.8s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.812 total time=   0.8s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.814 total time=   0.8s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.823 total time=   0.8s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.822 total time=   0.8s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.818 total time=   0.8s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.813 total time=   0.8s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.816 total time=   0.8s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.817 total time=   0.8s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.820 total time=   0.8s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.821 total time=   0.8s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.813 total time=   1.0s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.814 total time=   1.0s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.818 total time=   1.0s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.817 total time=   1.0s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.818 total time=   1.0s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.808 total time=   1.0s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.813 total time=   1.0s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.821 total time=   1.0s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.820 total time=   1.1s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.818 total time=   1.0s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.812 total time=   1.1s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.813 total time=   1.1s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.816 total time=   1.1s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.817 total time=   1.1s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.817 total time=   1.1s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.811 total time=   1.2s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.811 total time=   1.2s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.815 total time=   1.2s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.816 total time=   1.2s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.816 total time=   1.2s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.809 total time=   1.3s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.811 total time=   1.3s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.816 total time=   1.3s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.820 total time=   1.3s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.816 total time=   1.3s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.812 total time=   1.3s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.813 total time=   1.3s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.817 total time=   1.3s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.817 total time=   1.3s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.816 total time=   1.3s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.809 total time=   1.4s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.808 total time=   1.4s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.812 total time=   1.4s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.813 total time=   1.4s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.814 total time=   1.7s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.807 total time=   2.0s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.811 total time=   1.5s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.817 total time=   1.5s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.817 total time=   1.5s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.814 total time=   1.5s
[CV 1/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.812 total time=   1.5s
[CV 2/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.809 total time=   1.5s
[CV 3/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.815 total time=   1.5s
[CV 4/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.816 total time=   1.5s
[CV 5/5] END learning_rate=0.4, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.817 total time=   1.6s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.811 total time=   0.5s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.814 total time=   0.5s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.820 total time=   0.5s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.818 total time=   0.5s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.818 total time=   0.8s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.810 total time=   0.5s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.816 total time=   0.5s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.819 total time=   0.5s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.823 total time=   0.5s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.823 total time=   0.6s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.808 total time=   0.6s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.819 total time=   0.5s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.822 total time=   0.5s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.823 total time=   0.5s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.820 total time=   0.5s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.806 total time=   0.7s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.809 total time=   0.7s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.813 total time=   0.7s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.814 total time=   0.7s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.811 total time=   0.7s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.806 total time=   0.7s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.815 total time=   0.8s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.815 total time=   0.8s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.820 total time=   0.7s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.818 total time=   1.0s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.805 total time=   0.8s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.816 total time=   0.9s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.818 total time=   0.7s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.818 total time=   0.8s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.814 total time=   0.8s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.807 total time=   0.9s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.813 total time=   0.9s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.811 total time=   0.9s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.813 total time=   0.9s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.809 total time=   1.0s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.804 total time=   1.0s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.813 total time=   0.9s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.813 total time=   0.9s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.819 total time=   0.9s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.815 total time=   0.9s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.799 total time=   0.9s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.816 total time=   0.9s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.814 total time=   0.9s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.816 total time=   0.9s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.815 total time=   0.9s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.804 total time=   1.0s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.809 total time=   1.0s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.808 total time=   1.1s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.810 total time=   1.0s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.808 total time=   1.2s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.803 total time=   1.1s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.809 total time=   1.1s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.812 total time=   1.1s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.815 total time=   1.5s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.812 total time=   1.2s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.801 total time=   1.2s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.815 total time=   1.3s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.812 total time=   1.2s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.816 total time=   1.1s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.813 total time=   1.2s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.801 total time=   1.2s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.809 total time=   1.2s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.808 total time=   1.2s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.808 total time=   1.2s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.805 total time=   1.2s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.799 total time=   1.3s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.810 total time=   1.3s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.811 total time=   1.3s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.811 total time=   1.3s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.809 total time=   1.3s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.801 total time=   1.3s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.812 total time=   1.3s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.810 total time=   1.3s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.811 total time=   1.3s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.810 total time=   1.3s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.815 total time=   0.5s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.813 total time=   0.5s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.819 total time=   0.5s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.822 total time=   0.5s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.820 total time=   0.5s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.811 total time=   0.6s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.814 total time=   0.6s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.822 total time=   0.6s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.821 total time=   0.6s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.821 total time=   0.6s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.815 total time=   0.7s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.815 total time=   0.7s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.822 total time=   0.6s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.819 total time=   0.6s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.820 total time=   0.6s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.810 total time=   0.8s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.806 total time=   0.7s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.819 total time=   0.8s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.818 total time=   0.7s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.818 total time=   0.7s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.809 total time=   0.8s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.809 total time=   0.7s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.818 total time=   0.8s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.816 total time=   0.7s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.813 total time=   0.8s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.810 total time=   0.8s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.813 total time=   0.8s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.816 total time=   0.8s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.818 total time=   0.8s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.820 total time=   0.8s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.806 total time=   0.9s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.804 total time=   0.9s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.814 total time=   0.9s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.820 total time=   0.9s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.814 total time=   0.9s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.806 total time=   1.0s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.809 total time=   1.0s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.818 total time=   1.1s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.812 total time=   1.0s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.813 total time=   1.0s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.807 total time=   1.0s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.813 total time=   1.0s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.814 total time=   1.0s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.814 total time=   1.2s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.813 total time=   1.0s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.804 total time=   1.1s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.803 total time=   1.1s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.814 total time=   1.1s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.819 total time=   1.1s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.811 total time=   1.1s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.802 total time=   1.2s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.804 total time=   1.2s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.815 total time=   1.1s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.808 total time=   1.1s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.807 total time=   1.1s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.804 total time=   1.2s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.809 total time=   1.2s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.814 total time=   1.2s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.808 total time=   1.2s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.811 total time=   1.2s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.800 total time=   1.3s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.802 total time=   1.3s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.811 total time=   1.3s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.812 total time=   1.3s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.806 total time=   1.3s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.802 total time=   1.3s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.802 total time=   1.3s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.814 total time=   1.3s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.805 total time=   1.3s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.807 total time=   1.4s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.802 total time=   1.6s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.804 total time=   1.6s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.813 total time=   1.4s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.804 total time=   1.4s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.809 total time=   1.7s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.812 total time=   0.6s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.813 total time=   0.6s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.821 total time=   0.6s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.820 total time=   0.6s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.820 total time=   0.6s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.813 total time=   0.6s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.814 total time=   0.6s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.820 total time=   0.6s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.819 total time=   0.6s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.824 total time=   0.6s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.815 total time=   0.6s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.812 total time=   0.6s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.821 total time=   0.6s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.820 total time=   0.6s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.823 total time=   0.6s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.807 total time=   0.8s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.813 total time=   0.8s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.819 total time=   0.8s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.817 total time=   0.8s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.816 total time=   0.8s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.810 total time=   0.9s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.807 total time=   0.8s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.816 total time=   0.8s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.816 total time=   0.8s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.817 total time=   0.8s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.811 total time=   0.8s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.810 total time=   0.8s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.818 total time=   0.8s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.815 total time=   1.0s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.815 total time=   0.8s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.803 total time=   1.0s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.811 total time=   1.1s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.816 total time=   1.3s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.814 total time=   1.1s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.815 total time=   1.0s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.805 total time=   1.0s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.806 total time=   1.0s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.814 total time=   1.0s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.811 total time=   1.0s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.814 total time=   1.0s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.808 total time=   1.1s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.808 total time=   1.1s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.814 total time=   1.1s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.813 total time=   1.1s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.814 total time=   1.1s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.803 total time=   1.2s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.807 total time=   1.2s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.817 total time=   1.2s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.804 total time=   1.2s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.811 total time=   1.2s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.805 total time=   1.3s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.804 total time=   1.3s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.811 total time=   1.3s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.806 total time=   1.3s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.812 total time=   1.3s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.806 total time=   1.3s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.806 total time=   1.3s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.812 total time=   1.3s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.812 total time=   1.4s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.810 total time=   1.4s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.797 total time=   1.4s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.806 total time=   1.4s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.815 total time=   1.4s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.802 total time=   1.4s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.806 total time=   1.4s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.798 total time=   1.5s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.805 total time=   1.5s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.810 total time=   1.5s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.805 total time=   1.5s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.808 total time=   1.5s
[CV 1/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.804 total time=   1.5s
[CV 2/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.806 total time=   1.5s
[CV 3/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.809 total time=   1.5s
[CV 4/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.810 total time=   1.5s
[CV 5/5] END learning_rate=0.6000000000000001, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.812 total time=   1.5s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.812 total time=   0.5s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.812 total time=   0.5s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.819 total time=   0.5s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.816 total time=   0.8s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.819 total time=   0.5s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.812 total time=   0.5s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.810 total time=   0.5s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.818 total time=   0.6s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.819 total time=   0.6s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.814 total time=   0.6s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.807 total time=   0.7s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.814 total time=   0.7s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.821 total time=   0.6s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.817 total time=   0.5s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.814 total time=   0.5s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.808 total time=   0.7s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.810 total time=   0.7s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.814 total time=   0.7s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.816 total time=   0.7s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.812 total time=   0.7s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.806 total time=   0.7s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.809 total time=   0.7s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.813 total time=   0.7s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.811 total time=   0.7s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.808 total time=   0.7s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.802 total time=   0.7s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.810 total time=   0.7s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.817 total time=   0.8s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.812 total time=   0.7s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.808 total time=   0.7s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.802 total time=   0.9s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.804 total time=   0.9s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.808 total time=   0.9s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.816 total time=   0.9s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.809 total time=   0.9s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.803 total time=   0.9s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.807 total time=   0.9s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.810 total time=   0.9s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.804 total time=   0.9s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.808 total time=   0.9s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.799 total time=   0.9s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.807 total time=   0.9s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.815 total time=   1.0s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.809 total time=   0.9s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.804 total time=   1.0s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.800 total time=   1.1s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.803 total time=   1.0s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.808 total time=   1.2s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.813 total time=   1.3s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.802 total time=   1.0s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.800 total time=   1.1s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.808 total time=   1.1s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.809 total time=   1.1s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.804 total time=   1.1s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.802 total time=   1.1s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.799 total time=   1.1s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.803 total time=   1.1s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.811 total time=   1.1s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.808 total time=   1.1s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.802 total time=   1.1s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.798 total time=   1.3s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.799 total time=   1.2s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.805 total time=   1.2s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.808 total time=   1.2s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.802 total time=   1.2s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.795 total time=   1.3s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.803 total time=   1.3s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.804 total time=   1.3s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.806 total time=   1.2s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.802 total time=   1.4s
[CV 1/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.796 total time=   1.3s
[CV 2/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.799 total time=   1.3s
[CV 3/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.811 total time=   1.5s
[CV 4/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.806 total time=   1.6s
[CV 5/5] END learning_rate=0.8, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.798 total time=   1.3s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.806 total time=   0.5s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.810 total time=   0.5s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.816 total time=   0.5s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.812 total time=   0.5s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.816 total time=   0.5s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.810 total time=   0.6s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.811 total time=   0.6s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.814 total time=   0.6s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.820 total time=   0.6s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.819 total time=   0.6s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.812 total time=   0.6s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.810 total time=   0.6s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.819 total time=   0.6s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.821 total time=   0.6s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.813 total time=   0.6s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.803 total time=   0.7s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.808 total time=   0.7s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.813 total time=   0.7s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.813 total time=   0.7s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.809 total time=   0.7s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.805 total time=   0.8s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.804 total time=   0.8s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.811 total time=   0.7s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.817 total time=   0.8s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.810 total time=   0.7s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.805 total time=   0.8s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.807 total time=   0.8s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.814 total time=   0.8s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.817 total time=   0.8s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.805 total time=   0.8s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.797 total time=   1.0s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.802 total time=   0.9s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.811 total time=   0.9s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.808 total time=   0.9s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.803 total time=   0.9s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.803 total time=   1.0s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.802 total time=   1.0s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.806 total time=   1.0s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.809 total time=   1.3s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.807 total time=   1.0s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.800 total time=   1.0s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.806 total time=   1.0s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.812 total time=   1.0s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.811 total time=   1.0s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.805 total time=   1.0s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.798 total time=   1.1s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.803 total time=   1.1s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.809 total time=   1.1s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.808 total time=   1.1s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.801 total time=   1.1s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.802 total time=   1.2s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.798 total time=   1.2s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.807 total time=   1.1s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.809 total time=   1.2s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.803 total time=   1.1s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.799 total time=   1.2s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.801 total time=   1.2s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.810 total time=   1.2s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.810 total time=   1.2s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.801 total time=   1.2s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.797 total time=   1.5s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.803 total time=   1.3s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.808 total time=   1.3s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.805 total time=   1.3s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.797 total time=   1.7s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.798 total time=   1.4s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.795 total time=   1.4s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.806 total time=   1.3s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.807 total time=   1.4s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.800 total time=   1.3s
[CV 1/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.800 total time=   1.4s
[CV 2/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.799 total time=   1.4s
[CV 3/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.808 total time=   1.4s
[CV 4/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.807 total time=   1.4s
[CV 5/5] END learning_rate=0.8, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.800 total time=   1.4s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.807 total time=   0.6s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.812 total time=   0.6s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.820 total time=   0.6s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.818 total time=   0.6s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.813 total time=   0.6s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.807 total time=   0.6s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.811 total time=   0.6s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.818 total time=   0.6s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.817 total time=   0.6s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.817 total time=   0.6s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.806 total time=   0.6s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.813 total time=   0.6s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.819 total time=   0.6s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.814 total time=   0.6s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.817 total time=   0.6s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.803 total time=   0.8s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.806 total time=   0.8s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.816 total time=   0.8s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.814 total time=   0.8s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.811 total time=   0.8s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.806 total time=   0.8s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.804 total time=   0.8s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.815 total time=   0.8s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.812 total time=   0.9s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.812 total time=   0.9s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.801 total time=   0.8s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.810 total time=   0.8s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.818 total time=   0.8s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.812 total time=   0.9s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.809 total time=   0.8s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.800 total time=   1.0s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.804 total time=   1.0s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.815 total time=   1.0s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.808 total time=   1.0s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.807 total time=   1.0s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.802 total time=   1.0s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.805 total time=   1.0s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.808 total time=   1.0s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.808 total time=   1.1s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.806 total time=   1.0s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.802 total time=   1.1s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.808 total time=   1.1s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.812 total time=   1.1s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.811 total time=   1.1s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.806 total time=   1.1s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.800 total time=   1.2s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.805 total time=   1.2s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.814 total time=   1.3s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.802 total time=   1.2s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.806 total time=   1.2s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.794 total time=   1.3s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.799 total time=   1.3s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.804 total time=   1.7s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.805 total time=   1.3s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.802 total time=   1.3s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.796 total time=   1.3s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.806 total time=   1.3s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.810 total time=   1.3s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.807 total time=   1.3s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.805 total time=   1.3s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.795 total time=   1.4s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.798 total time=   1.4s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.811 total time=   1.4s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.800 total time=   1.4s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.805 total time=   1.4s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.794 total time=   1.5s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.796 total time=   1.5s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.799 total time=   1.5s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.806 total time=   1.5s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.800 total time=   1.5s
[CV 1/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.795 total time=   1.5s
[CV 2/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.803 total time=   1.5s
[CV 3/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.806 total time=   1.5s
[CV 4/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.802 total time=   1.9s
[CV 5/5] END learning_rate=0.8, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.803 total time=   1.6s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.809 total time=   0.5s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.805 total time=   0.5s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.810 total time=   0.5s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.811 total time=   0.5s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.8;, score=0.809 total time=   0.5s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.808 total time=   0.5s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.808 total time=   0.5s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.819 total time=   0.5s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.810 total time=   0.5s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=0.9;, score=0.811 total time=   0.6s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.804 total time=   0.6s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.805 total time=   0.5s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.816 total time=   0.6s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.815 total time=   0.5s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=20, subsample=1.0;, score=0.815 total time=   0.5s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.805 total time=   0.7s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.803 total time=   0.7s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.810 total time=   0.7s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.808 total time=   0.7s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.8;, score=0.813 total time=   0.7s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.803 total time=   0.7s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.807 total time=   0.7s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.811 total time=   0.7s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.807 total time=   0.7s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=0.9;, score=0.807 total time=   0.7s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.796 total time=   0.7s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.804 total time=   0.7s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.812 total time=   0.7s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.804 total time=   0.7s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=40, subsample=1.0;, score=0.808 total time=   0.7s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.798 total time=   0.9s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.800 total time=   0.9s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.801 total time=   1.1s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.803 total time=   0.9s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.8;, score=0.810 total time=   0.9s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.794 total time=   0.9s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.800 total time=   0.9s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.808 total time=   0.9s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.801 total time=   1.0s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=0.9;, score=0.801 total time=   1.2s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.796 total time=   1.1s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.803 total time=   0.9s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.807 total time=   0.9s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.800 total time=   0.9s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=60, subsample=1.0;, score=0.804 total time=   0.9s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.797 total time=   1.0s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.795 total time=   1.0s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.800 total time=   1.0s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.801 total time=   1.1s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.8;, score=0.798 total time=   1.1s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.793 total time=   1.1s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.799 total time=   1.1s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.806 total time=   1.1s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.798 total time=   1.1s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=0.9;, score=0.799 total time=   1.1s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.791 total time=   1.1s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.800 total time=   1.1s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.806 total time=   1.1s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.799 total time=   1.1s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=80, subsample=1.0;, score=0.804 total time=   1.1s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.796 total time=   1.2s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.794 total time=   1.2s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.798 total time=   1.2s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.798 total time=   1.2s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.8;, score=0.796 total time=   1.2s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.791 total time=   1.3s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.791 total time=   1.5s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.804 total time=   1.5s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.795 total time=   1.2s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=0.9;, score=0.798 total time=   1.3s
[CV 1/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.791 total time=   1.3s
[CV 2/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.801 total time=   1.3s
[CV 3/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.805 total time=   1.3s
[CV 4/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.801 total time=   1.3s
[CV 5/5] END learning_rate=1.0, max_features=0.8, n_estimators=100, subsample=1.0;, score=0.802 total time=   1.3s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.807 total time=   0.6s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.808 total time=   0.6s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.813 total time=   0.5s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.816 total time=   0.5s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.8;, score=0.813 total time=   0.5s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.808 total time=   0.6s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.811 total time=   0.6s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.820 total time=   0.6s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.817 total time=   0.6s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=0.9;, score=0.809 total time=   0.7s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.806 total time=   0.7s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.814 total time=   0.7s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.816 total time=   0.7s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.820 total time=   0.7s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=20, subsample=1.0;, score=0.813 total time=   0.7s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.801 total time=   0.9s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.805 total time=   0.9s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.811 total time=   0.7s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.808 total time=   0.7s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.8;, score=0.806 total time=   1.0s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.802 total time=   0.8s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.804 total time=   0.7s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.813 total time=   0.8s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.813 total time=   0.8s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=0.9;, score=0.807 total time=   0.8s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.801 total time=   0.8s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.809 total time=   0.8s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.812 total time=   0.9s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.810 total time=   1.0s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=40, subsample=1.0;, score=0.809 total time=   0.8s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.797 total time=   0.9s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.800 total time=   0.9s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.807 total time=   0.9s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.800 total time=   0.9s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.8;, score=0.805 total time=   0.9s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.798 total time=   1.0s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.802 total time=   0.9s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.804 total time=   1.0s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.805 total time=   0.9s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=0.9;, score=0.800 total time=   0.9s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.796 total time=   1.0s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.807 total time=   1.0s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.806 total time=   1.0s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.807 total time=   1.0s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=60, subsample=1.0;, score=0.809 total time=   1.0s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.794 total time=   1.1s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.800 total time=   1.1s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.804 total time=   1.1s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.797 total time=   1.1s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.8;, score=0.802 total time=   1.1s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.793 total time=   1.2s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.798 total time=   1.2s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.800 total time=   1.1s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.803 total time=   1.1s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=0.9;, score=0.799 total time=   1.1s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.792 total time=   1.2s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.803 total time=   1.2s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.805 total time=   1.5s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.802 total time=   1.3s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=80, subsample=1.0;, score=0.804 total time=   1.2s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.790 total time=   1.3s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.794 total time=   1.3s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.804 total time=   1.3s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.794 total time=   1.3s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.8;, score=0.797 total time=   1.3s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.786 total time=   1.3s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.795 total time=   1.4s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.803 total time=   1.3s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.800 total time=   1.4s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=0.9;, score=0.796 total time=   1.3s
[CV 1/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.790 total time=   1.4s
[CV 2/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.799 total time=   1.4s
[CV 3/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.799 total time=   1.4s
[CV 4/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.800 total time=   1.4s
[CV 5/5] END learning_rate=1.0, max_features=0.9, n_estimators=100, subsample=1.0;, score=0.802 total time=   1.6s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.807 total time=   0.6s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.804 total time=   0.6s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.812 total time=   0.6s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.811 total time=   0.6s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.8;, score=0.818 total time=   0.6s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.809 total time=   0.6s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.811 total time=   0.6s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.821 total time=   0.6s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.812 total time=   0.6s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=0.9;, score=0.814 total time=   0.6s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.808 total time=   0.7s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.808 total time=   0.9s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.818 total time=   0.7s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.816 total time=   0.6s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=20, subsample=1.0;, score=0.815 total time=   0.6s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.802 total time=   0.8s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.800 total time=   0.8s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.805 total time=   0.8s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.811 total time=   0.8s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.8;, score=0.806 total time=   0.8s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.801 total time=   0.8s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.800 total time=   0.8s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.817 total time=   0.8s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.807 total time=   0.8s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=0.9;, score=0.808 total time=   0.8s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.801 total time=   0.8s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.803 total time=   0.8s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.813 total time=   0.9s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.807 total time=   0.8s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=40, subsample=1.0;, score=0.808 total time=   0.8s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.798 total time=   1.0s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.797 total time=   1.0s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.802 total time=   1.0s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.809 total time=   1.0s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.8;, score=0.797 total time=   1.0s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.796 total time=   1.0s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.796 total time=   1.0s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.806 total time=   1.0s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.801 total time=   1.0s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=0.9;, score=0.803 total time=   1.0s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.792 total time=   1.1s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.801 total time=   1.1s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.810 total time=   1.1s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.806 total time=   1.1s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=60, subsample=1.0;, score=0.805 total time=   1.3s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.792 total time=   1.4s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.795 total time=   1.2s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.799 total time=   1.2s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.804 total time=   1.2s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.8;, score=0.797 total time=   1.2s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.791 total time=   1.3s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.793 total time=   1.3s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.803 total time=   1.3s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.797 total time=   1.3s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=0.9;, score=0.799 total time=   1.3s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.792 total time=   1.3s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.793 total time=   1.3s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.808 total time=   1.4s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.804 total time=   1.4s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=80, subsample=1.0;, score=0.798 total time=   1.3s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.787 total time=   1.4s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.792 total time=   1.6s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.799 total time=   1.4s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.802 total time=   1.4s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.8;, score=0.792 total time=   1.4s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.784 total time=   1.5s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.795 total time=   1.5s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.797 total time=   1.9s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.798 total time=   1.5s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=0.9;, score=0.795 total time=   1.5s
[CV 1/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.790 total time=   1.5s
[CV 2/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.790 total time=   1.5s
[CV 3/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.804 total time=   1.5s
[CV 4/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.799 total time=   1.5s
[CV 5/5] END learning_rate=1.0, max_features=1.0, n_estimators=100, subsample=1.0;, score=0.800 total time=   1.5s
Out[75]:
GradientBoostingClassifier(init=AdaBoostClassifier(random_state=1),
                           learning_rate=0.2, max_features=0.8, n_estimators=20,
                           random_state=1, subsample=0.8)

Best combination hyperparameter¶

GradientBoostingClassifier(init=AdaBoostClassifier(random_state=1), learning_rate=0.2, max_features=0.8, n_estimators=20, random_state=1, subsample=0.8)

In [76]:
# Create confusion matrix based on test data set
make_confusion_matrix(tnd_grdnt_boost)

# Check performance of model on both training and test data sets
perf_tnd_grdnt_boost = get_metrics_score(tnd_grdnt_boost)
perf_tnd_grdnt_boost
Out[76]:
Accuracy Recall Precision F1
Training 0.747309 0.892700 0.765486 0.824213
Test 0.747776 0.886916 0.773998 0.826619

Accuracy has reduced slightly compared to gradiant boost without hyper parameter

In [77]:
print(pd.DataFrame(tnd_grdnt_boost.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))

                                        Imp
education_of_employee_High School  0.285089
has_job_experience_Y               0.177937
prevailing_wage                    0.148636
education_of_employee_Master's     0.102437
education_of_employee_Doctorate    0.086290
continent_Europe                   0.058420
unit_of_wage_Year                  0.033407
region_of_employment_Midwest       0.031714
region_of_employment_West          0.024147
continent_North America            0.011955
continent_Asia                     0.008379
region_of_employment_South         0.007028
region_of_employment_Northeast     0.006145
yr_of_estab                        0.005576
no_of_employees                    0.004321
continent_South America            0.003906
full_time_position_Y               0.002712
requires_job_training_Y            0.001902
unit_of_wage_Month                 0.000000
unit_of_wage_Week                  0.000000
continent_Oceania                  0.000000
In [78]:
feature_names = X_train.columns
importances = tnd_grdnt_boost.feature_importances_
indices = np.argsort(importances)

plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(indices)), importances[indices], color='violet', align='center')
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel('Relative Importance')
plt.show()

We notice that education of employee (High school) is important feature contrast to the previous model

XGBoost Regressor¶

In [80]:
# Use function XGBClassifier from xgboost to build model
xg_boost = XGBClassifier(eval_metric="logloss", random_state=1)
xg_boost.fit(X_train, y_train)
Out[80]:
XGBClassifier(base_score=None, booster=None, callbacks=None,
              colsample_bylevel=None, colsample_bynode=None,
              colsample_bytree=None, early_stopping_rounds=None,
              enable_categorical=False, eval_metric='logloss',
              feature_types=None, gamma=None, gpu_id=None, grow_policy=None,
              importance_type=None, interaction_constraints=None,
              learning_rate=None, max_bin=None, max_cat_threshold=None,
              max_cat_to_onehot=None, max_delta_step=None, max_depth=None,
              max_leaves=None, min_child_weight=None, missing=nan,
              monotone_constraints=None, n_estimators=100, n_jobs=None,
              num_parallel_tree=None, predictor=None, random_state=1, ...)
In [81]:
# Create confusion matrix based on test data set
make_confusion_matrix(xg_boost)

# Check performance of model on both training and test data sets
perf_xg_boost = get_metrics_score(xg_boost)
perf_xg_boost
Out[81]:
Accuracy Recall Precision F1
Training 0.829782 0.925482 0.835673 0.878287
Test 0.738619 0.854496 0.780677 0.815920

Hyperparameter Tuning¶

In [83]:
# Choose type of classifier
tnd_xg_boost = XGBClassifier(eval_metric="logloss", random_state=1)

# Form grid of parameters to search in
grid_para = {
    "subsample": [0.8, 1.0],
    "scale_pos_weight": [1, 2],
    "gamma": [3, 5],
    "colsample_bytree": [0.8, 1.0],
    "colsample_bylevel": [0.8, 1.0],
    "n_estimators": [50, 100],
    "learning_rate": [0.1, 0.2],
}

# Set type of score used to evaluate performance throughout search
scorer = make_scorer(f1_score)

# Run GridSearch
grid_obj = GridSearchCV(tnd_xg_boost, grid_para, scoring=scorer, cv=5, verbose=3)
grid_obj = grid_obj.fit(X_train, y_train)

# Set classifer to best combination of parameters
tnd_xg_boost = grid_obj.best_estimator_

# Fit best decision tree to training data
tnd_xg_boost.fit(X_train, y_train)

Fitting 5 folds for each of 128 candidates, totalling 640 fits
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.818 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.2s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.827 total time=   0.2s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.2s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.818 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.2s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.827 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.809 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.813 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.2s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.820 total time=   0.2s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.813 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.819 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.812 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.825 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.820 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.815 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.827 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.2s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.818 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.814 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.813 total time=   0.2s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.820 total time=   0.2s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.821 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.2s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.2s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.823 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.820 total time=   0.2s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.809 total time=   0.2s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.820 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.822 total time=   0.2s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.811 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.819 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.816 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.813 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.812 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.819 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.820 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.809 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time=   0.7s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.824 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.812 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.825 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.821 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.827 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.814 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.812 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.814 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.819 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.6s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.821 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.815 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.6s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.827 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.826 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.815 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.827 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.821 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.2s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.812 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.2s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.2s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.2s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.2s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.2s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.825 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time=   0.2s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.809 total time=   0.2s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.824 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.819 total time=   0.2s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.820 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.813 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.827 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.819 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.808 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.815 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.826 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.5s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.819 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.819 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.810 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.815 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.822 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.823 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.813 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time=   0.7s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.821 total time=   0.7s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.821 total time=   0.8s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.813 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.818 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.825 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.827 total time=   0.6s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.820 total time=   0.5s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.813 total time=   0.5s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.5s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.827 total time=   0.5s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.810 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.813 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.821 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.819 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.810 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.815 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.821 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.822 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.828 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.812 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.828 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.819 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.821 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.804 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.810 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time=   0.9s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.816 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.808 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.814 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time=   0.6s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.815 total time=   0.7s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.820 total time=   0.7s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.826 total time=   0.6s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.819 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.826 total time=   0.6s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.819 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.4s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.4s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.826 total time=   0.4s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.4s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.819 total time=   0.4s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.4s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.4s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.827 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.810 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.826 total time=   0.4s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.821 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.809 total time=   0.4s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.4s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.822 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time=   0.7s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.7s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.7s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.815 total time=   0.7s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.819 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.6s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.827 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.828 total time=   0.6s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.822 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.812 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.7s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.827 total time=   0.7s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.812 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.821 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.821 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.813 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.3s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.815 total time=   0.3s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.4s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.822 total time=   0.4s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.813 total time=   0.4s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.4s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time=   0.4s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.4s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.823 total time=   0.3s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.808 total time=   0.7s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.7s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.6s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.820 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.812 total time=   0.7s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.7s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time=   0.8s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.7s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.809 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.823 total time=   0.6s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.823 total time=   0.6s
[CV 1/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.813 total time=   0.6s
[CV 2/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.6s
[CV 3/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.828 total time=   0.6s
[CV 4/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.6s
[CV 5/5] END colsample_bylevel=0.8, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.4s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.4s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.827 total time=   0.4s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.826 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.815 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.827 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.815 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.822 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.812 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.9s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.8s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.812 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.815 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.825 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.812 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.827 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.820 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.811 total time=   0.7s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.7s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.828 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time=   0.7s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.819 total time=   0.4s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.810 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.815 total time=   0.4s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.821 total time=   0.4s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.821 total time=   0.4s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.4s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.810 total time=   0.4s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.815 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.807 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.820 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.812 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.812 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.816 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.819 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.812 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.814 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.820 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.808 total time=   0.7s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time=   0.7s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.825 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.809 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.5s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.825 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.814 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.820 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.815 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.828 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.815 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.824 total time=   0.4s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.815 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.821 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.816 total time=   0.7s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.814 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.7s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.825 total time=   0.7s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.825 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.827 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.808 total time=   0.7s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.828 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.820 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.825 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.820 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.815 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.821 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.822 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.820 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.819 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.815 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.823 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.813 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.820 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time=   0.7s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.819 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.5s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.819 total time=   0.5s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.5s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time=   0.5s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.8s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.812 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.825 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.812 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.825 total time=   0.5s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=0.8, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.819 total time=   0.5s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.4s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.826 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.827 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.814 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.827 total time=   0.4s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.824 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.4s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.810 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.4s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.827 total time=   0.5s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.4s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.820 total time=   0.4s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.8s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.9s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.8s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.7s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time=   0.7s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.814 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.821 total time=   0.7s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.7s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.810 total time=   0.7s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.815 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.827 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time=   0.7s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.817 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.828 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.819 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.821 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.821 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.820 total time=   0.4s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.822 total time=   0.4s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.814 total time=   0.4s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.822 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.822 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.829 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.812 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.815 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.828 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.815 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.822 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.809 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.812 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.819 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.814 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.820 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.822 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.810 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.814 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.824 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.819 total time=   0.7s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.812 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.7s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.829 total time=   0.9s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.814 total time=   0.8s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=3, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time=   0.7s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.826 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.818 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.818 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.825 total time=   0.4s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.828 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.816 total time=   0.4s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.826 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.822 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.812 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.825 total time=   0.4s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.4s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.823 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.813 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.818 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.825 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.822 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.818 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.826 total time=   0.7s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time=   1.1s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.7s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.828 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.817 total time=   0.7s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.821 total time=   1.0s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.810 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.815 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.827 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.818 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.1, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.822 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.813 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.816 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.824 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=0.8;, score=0.823 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.3s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=1, subsample=1.0;, score=0.828 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.812 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.824 total time=   0.4s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=0.8;, score=0.819 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.811 total time=   0.3s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.819 total time=   0.3s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.826 total time=   0.4s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.819 total time=   0.3s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=50, scale_pos_weight=2, subsample=1.0;, score=0.821 total time=   0.3s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.812 total time=   0.8s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.814 total time=   0.8s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.821 total time=   0.8s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.821 total time=   0.8s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=0.8;, score=0.819 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.816 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.817 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.824 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.823 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=1, subsample=1.0;, score=0.828 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.813 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.820 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=0.8;, score=0.818 total time=   0.6s
[CV 1/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.811 total time=   0.6s
[CV 2/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.819 total time=   0.6s
[CV 3/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.826 total time=   0.6s
[CV 4/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.819 total time=   0.6s
[CV 5/5] END colsample_bylevel=1.0, colsample_bytree=1.0, gamma=5, learning_rate=0.2, n_estimators=100, scale_pos_weight=2, subsample=1.0;, score=0.821 total time=   0.6s
Out[83]:
XGBClassifier(base_score=None, booster=None, callbacks=None,
              colsample_bylevel=1.0, colsample_bynode=None,
              colsample_bytree=1.0, early_stopping_rounds=None,
              enable_categorical=False, eval_metric='logloss',
              feature_types=None, gamma=5, gpu_id=None, grow_policy=None,
              importance_type=None, interaction_constraints=None,
              learning_rate=0.1, max_bin=None, max_cat_threshold=None,
              max_cat_to_onehot=None, max_delta_step=None, max_depth=None,
              max_leaves=None, min_child_weight=None, missing=nan,
              monotone_constraints=None, n_estimators=50, n_jobs=None,
              num_parallel_tree=None, predictor=None, random_state=1, ...)

OUTput¶

XGBClassifier(base_score=None, booster=None, callbacks=None, colsample_bylevel=1.0, colsample_bynode=None, colsample_bytree=1.0, early_stopping_rounds=None, enable_categorical=False, eval_metric='logloss', feature_types=None, gamma=5, gpu_id=None, grow_policy=None, importance_type=None, interaction_constraints=None, learning_rate=0.1, max_bin=None, max_cat_threshold=None, max_cat_to_onehot=None, max_delta_step=None, max_depth=None, max_leaves=None, min_child_weight=None, missing=nan, monotone_constraints=None, n_estimators=50, n_jobs=None, num_parallel_tree=None, predictor=None, random_state=1, ...)

In [84]:
# Create confusion matrix based on test data set
make_confusion_matrix(tnd_xg_boost)

# Check performance of model on both training and test data sets
perf_tnd_xg_boost = get_metrics_score(tnd_xg_boost)
perf_tnd_xg_boost
Out[84]:
Accuracy Recall Precision F1
Training 0.759643 0.873099 0.787712 0.828211
Test 0.751308 0.862215 0.790097 0.824582

All the parameter values have been reduced in hyper parameter tuning for XG boost

In [85]:
print(pd.DataFrame(tnd_xg_boost.feature_importances_, columns = ["Imp"], index = X_train.columns).sort_values(by = 'Imp', ascending = False))

                                        Imp
education_of_employee_High School  0.347332
has_job_experience_Y               0.131491
education_of_employee_Master's     0.070672
education_of_employee_Doctorate    0.061784
unit_of_wage_Year                  0.059541
continent_Europe                   0.054630
region_of_employment_Northeast     0.031589
region_of_employment_Midwest       0.029913
region_of_employment_South         0.029320
region_of_employment_West          0.029284
prevailing_wage                    0.024907
full_time_position_Y               0.023557
continent_North America            0.020174
continent_Oceania                  0.017595
requires_job_training_Y            0.014843
continent_South America            0.014068
continent_Asia                     0.013410
yr_of_estab                        0.010199
no_of_employees                    0.010118
unit_of_wage_Month                 0.005572
unit_of_wage_Week                  0.000000
In [86]:
feature_names = X_train.columns
importances = tnd_xg_boost.feature_importances_
indices = np.argsort(importances)

plt.figure(figsize=(12,12))
plt.title('Feature Importances')
plt.barh(range(len(indices)), importances[indices], color='violet', align='center')
plt.yticks(range(len(indices)), [feature_names[i] for i in indices])
plt.xlabel('Relative Importance')
plt.show()

Education(High school, masters, doctorate) , job experience , wage_year are top important features. We can notice that prevailing wage is no longer in top 5 important features

Stacking Model¶

In [87]:
# Use function XGBClassifier from sklearn to build model
stacking = StackingClassifier(
    estimators=[
        ("Decision Tree", dtree_tuned),
        ("Random Forest", rf_tuned),
        ("AdaBoost", tnd_ada_boost),
        ("Gradient Boosting", tnd_grdnt_boost),
    ],
    final_estimator=tnd_xg_boost,
)
stacking.fit(X_train, y_train)
Out[87]:
StackingClassifier(estimators=[('Decision Tree',
                                DecisionTreeClassifier(max_depth=4,
                                                       max_leaf_nodes=14,
                                                       min_impurity_decrease=0.0001,
                                                       min_samples_split=200,
                                                       random_state=1)),
                               ('Random Forest',
                                RandomForestClassifier(max_depth=4,
                                                       max_features='sqrt',
                                                       max_samples=0.9,
                                                       min_samples_split=100,
                                                       n_estimators=80,
                                                       oob_score=True,
                                                       random_state=1)),
                               ('AdaBoost',
                                AdaBoostClass...
                                                 gpu_id=None, grow_policy=None,
                                                 importance_type=None,
                                                 interaction_constraints=None,
                                                 learning_rate=0.1,
                                                 max_bin=None,
                                                 max_cat_threshold=None,
                                                 max_cat_to_onehot=None,
                                                 max_delta_step=None,
                                                 max_depth=None,
                                                 max_leaves=None,
                                                 min_child_weight=None,
                                                 missing=nan,
                                                 monotone_constraints=None,
                                                 n_estimators=50, n_jobs=None,
                                                 num_parallel_tree=None,
                                                 predictor=None, random_state=1, ...))
In [88]:
# Create confusion matrix based on test data set
make_confusion_matrix(stacking)

# Check performance of model on both training and test data sets
perf_stacking = get_metrics_score(stacking)
perf_stacking
Out[88]:
Accuracy Recall Precision F1
Training 0.752803 0.869804 0.782117 0.823633
Test 0.750392 0.863566 0.788407 0.824277

Comparing all models¶

In [89]:
# Create a data frame with summary of model performance on training data set
perf_train = pd.concat(
    [
        perf_dcsn_tree.loc["Training"].T,
        perf_tnd_dcsn_tree.loc["Training"].T,
        perf_bagging.loc["Training"].T,
        perf_tnd_bagging.loc["Training"].T,
        perf_rf_tree.loc["Training"].T,
        perf_tnd_rndm_frst.loc["Training"].T,
        perf_ada_boost.loc["Training"].T,
        perf_tnd_ada_boost.loc["Training"].T,
        perf_grdnt_boost.loc["Training"].T,
        perf_tnd_grdnt_boost.loc["Training"].T,
        perf_xg_boost.loc["Training"].T,
        perf_tnd_xg_boost.loc["Training"].T,
        perf_stacking.loc["Training"].T,
    ],
    axis=1,
)

perf_train.columns = [
    "Decision Tree",
    "Tuned Decision Tree",
    "Bagging",
    "Tuned Bagging",
    "Random Forest",
    "Tuned Random Forest",
    "AdaBoost",
    "Tuned AdaBoost",
    "Gradient Boosting",
    "Tuned Gradient Boosting",
    "XGBoost",
    "Tuned XGBoost",
    "Stacking",
]

print("Model Performance Comparison for Training Data Set:")
perf_train

Model Performance Comparison for Training Data Set:
Out[89]:
Decision Tree Tuned Decision Tree Bagging Tuned Bagging Random Forest Tuned Random Forest AdaBoost Tuned AdaBoost Gradient Boosting Tuned Gradient Boosting XGBoost Tuned XGBoost Stacking
Accuracy 1.0 0.733404 0.984750 0.996244 0.999944 0.732732 0.736880 0.752915 0.755382 0.747309 0.829782 0.759643 0.752803
Recall 1.0 0.914329 0.986059 0.999747 1.000000 0.920581 0.886110 0.882224 0.875972 0.892700 0.925482 0.873099 0.869804
Precision 1.0 0.743116 0.990915 0.994620 0.999916 0.740067 0.758187 0.776068 0.781724 0.765486 0.835673 0.787712 0.782117
F1 1.0 0.819880 0.988481 0.997177 0.999958 0.820513 0.817172 0.825748 0.826168 0.824213 0.878287 0.828211 0.823633

Observations¶

  • Among the examined classifiers, Decision Tree, Bagging, Tuned Bagging, and Random Forest are overfitting the training data set.
  • The remaining models perform almost similarly in terms of F1-score, except XGBoost that outperforms others.
In [90]:
# Create a data frame with summary of model performance on training data set
perf_test = pd.concat(
    [
        perf_dcsn_tree.loc["Test"].T,
        perf_tnd_dcsn_tree.loc["Test"].T,
        perf_bagging.loc["Test"].T,
        perf_tnd_bagging.loc["Test"].T,
        perf_rf_tree.loc["Test"].T,
        perf_tnd_rndm_frst.loc["Test"].T,
        perf_ada_boost.loc["Test"].T,
        perf_tnd_ada_boost.loc["Test"].T,
        perf_grdnt_boost.loc["Test"].T,
        perf_tnd_grdnt_boost.loc["Test"].T,
        perf_xg_boost.loc["Test"].T,
        perf_tnd_xg_boost.loc["Test"].T,
        perf_stacking.loc["Test"].T,
    ],
    axis=1,
)

perf_test.columns = [
    "Decision Tree",
    "Tuned Decision Tree",
    "Bagging",
    "Tuned Bagging",
    "Random Forest",
    "Tuned Random Forest",
    "AdaBoost",
    "Tuned AdaBoost",
    "Gradient Boosting",
    "Tuned Gradient Boosting",
    "XGBoost",
    "Tuned XGBoost",
    "Stacking",
]

print("Model Performance Comparison for Test Data Set:")
perf_test

Model Performance Comparison for Test Data Set:
Out[90]:
Decision Tree Tuned Decision Tree Bagging Tuned Bagging Random Forest Tuned Random Forest AdaBoost Tuned AdaBoost Gradient Boosting Tuned Gradient Boosting XGBoost Tuned XGBoost Stacking
Accuracy 0.660911 0.739011 0.705128 0.735086 0.730638 0.739534 0.738488 0.747776 0.750392 0.747776 0.738619 0.751308 0.750392
Recall 0.739483 0.910459 0.779622 0.880741 0.841760 0.921266 0.885951 0.873408 0.868391 0.886916 0.854496 0.862215 0.863566
Precision 0.755223 0.755001 0.784161 0.764361 0.778790 0.750983 0.765294 0.780614 0.785889 0.773998 0.780677 0.790097 0.788407
F1 0.747270 0.825475 0.781885 0.818435 0.809051 0.827455 0.821215 0.824408 0.825083 0.826619 0.815920 0.824582 0.824277

Observations¶

  • Tuned Gradient Boosting model slightly outperforms all other models in terms of F1-score.
  • However, Tuned Decision Tree, Tuned Bagging, Tuned Random Forest, AdaBoost, Tuned AdaBoost, Gradient Boosting, Tuned Gradient Boosting, XGBoost, Tuned XGBoost, and Stacking all provide close F1-scores (0.81-0.82).

Model Performance Comparison and Conclusions¶

In [91]:
# Plot tuned tree
plt.figure(figsize=(35, 10))

plot_tree(
    decision_tree=dtree_tuned,
    feature_names=col_names,
    filled=True,
    fontsize=10,
    node_ids=True,
    class_names=True,
)
Out[91]:
[Text(0.5648148148148148, 0.9, 'node #0\neducation_of_employee_High School <= 0.5\ngini = 0.446\nsamples = 17836\nvalue = [6000, 11836]\nclass = y[1]'),
 Text(0.2962962962962963, 0.7, 'node #1\nhas_job_experience_Y <= 0.5\ngini = 0.408\nsamples = 15429\nvalue = [4401, 11028]\nclass = y[1]'),
 Text(0.14814814814814814, 0.5, 'node #3\nunit_of_wage_Year <= 0.5\ngini = 0.483\nsamples = 6509\nvalue = [2663, 3846]\nclass = y[1]'),
 Text(0.07407407407407407, 0.3, 'node #5\neducation_of_employee_Doctorate <= 0.5\ngini = 0.434\nsamples = 851\nvalue = [580, 271]\nclass = y[0]'),
 Text(0.037037037037037035, 0.1, 'node #21\ngini = 0.42\nsamples = 793\nvalue = [555, 238]\nclass = y[0]'),
 Text(0.1111111111111111, 0.1, 'node #22\ngini = 0.49\nsamples = 58\nvalue = [25, 33]\nclass = y[1]'),
 Text(0.2222222222222222, 0.3, 'node #6\ncontinent_Europe <= 0.5\ngini = 0.465\nsamples = 5658\nvalue = [2083, 3575]\nclass = y[1]'),
 Text(0.18518518518518517, 0.1, 'node #9\ngini = 0.484\nsamples = 4753\nvalue = [1945, 2808]\nclass = y[1]'),
 Text(0.25925925925925924, 0.1, 'node #10\ngini = 0.258\nsamples = 905\nvalue = [138, 767]\nclass = y[1]'),
 Text(0.4444444444444444, 0.5, 'node #4\nprevailing_wage <= 956.441\ngini = 0.314\nsamples = 8920\nvalue = [1738, 7182]\nclass = y[1]'),
 Text(0.37037037037037035, 0.3, "node #7\neducation_of_employee_Master's <= 0.5\ngini = 0.5\nsamples = 489\nvalue = [252, 237]\nclass = y[0]"),
 Text(0.3333333333333333, 0.1, 'node #15\ngini = 0.473\nsamples = 310\nvalue = [191, 119]\nclass = y[0]'),
 Text(0.4074074074074074, 0.1, 'node #16\ngini = 0.449\nsamples = 179\nvalue = [61, 118]\nclass = y[1]'),
 Text(0.5185185185185185, 0.3, "node #8\neducation_of_employee_Master's <= 0.5\ngini = 0.29\nsamples = 8431\nvalue = [1486, 6945]\nclass = y[1]"),
 Text(0.48148148148148145, 0.1, 'node #11\ngini = 0.362\nsamples = 4650\nvalue = [1104, 3546]\nclass = y[1]'),
 Text(0.5555555555555556, 0.1, 'node #12\ngini = 0.182\nsamples = 3781\nvalue = [382, 3399]\nclass = y[1]'),
 Text(0.8333333333333334, 0.7, 'node #2\ncontinent_North America <= 0.5\ngini = 0.446\nsamples = 2407\nvalue = [1599, 808]\nclass = y[0]'),
 Text(0.7407407407407407, 0.5, 'node #13\nprevailing_wage <= 4166.81\ngini = 0.426\nsamples = 2112\nvalue = [1461, 651]\nclass = y[0]'),
 Text(0.6666666666666666, 0.3, 'node #19\ncontinent_South America <= 0.5\ngini = 0.294\nsamples = 257\nvalue = [211, 46]\nclass = y[0]'),
 Text(0.6296296296296297, 0.1, 'node #25\ngini = 0.255\nsamples = 227\nvalue = [193, 34]\nclass = y[0]'),
 Text(0.7037037037037037, 0.1, 'node #26\ngini = 0.48\nsamples = 30\nvalue = [18, 12]\nclass = y[0]'),
 Text(0.8148148148148148, 0.3, 'node #20\ncontinent_South America <= 0.5\ngini = 0.44\nsamples = 1855\nvalue = [1250, 605]\nclass = y[0]'),
 Text(0.7777777777777778, 0.1, 'node #23\ngini = 0.434\nsamples = 1787\nvalue = [1219, 568]\nclass = y[0]'),
 Text(0.8518518518518519, 0.1, 'node #24\ngini = 0.496\nsamples = 68\nvalue = [31, 37]\nclass = y[1]'),
 Text(0.9259259259259259, 0.5, 'node #14\nhas_job_experience_Y <= 0.5\ngini = 0.498\nsamples = 295\nvalue = [138, 157]\nclass = y[1]'),
 Text(0.8888888888888888, 0.3, 'node #17\ngini = 0.45\nsamples = 126\nvalue = [83, 43]\nclass = y[0]'),
 Text(0.9629629629629629, 0.3, 'node #18\ngini = 0.439\nsamples = 169\nvalue = [55, 114]\nclass = y[1]')]
In [92]:
dtree_tuned
Out[92]:
DecisionTreeClassifier(max_depth=4, max_leaf_nodes=14,
                       min_impurity_decrease=0.0001, min_samples_split=200,
                       random_state=1)
In [93]:
# Check importances of various features of tuned tree
importances = dtree_tuned.feature_importances_
indices = np.argsort(importances)

plt.figure(figsize=(6, 0.5 * len(col_names)))
plt.barh(range(len(indices)), importances[indices], color="violet", align="center")
plt.yticks(range(len(indices)), [col_names[i] for i in indices])
plt.xlabel("Relative Importance", fontsize=15)
plt.ylabel("Feature", fontsize=15)
plt.show()

Actionable Insights and Recommendations¶

Insights¶

According to the EDA:¶

  • The majority 16861 applications are from Asia which contributes to (66%) of work via applications are from Asia.
  • A large portion (78%) of the applicants have a bachelor's or a master's degree and only less than 8.6% have a doctrate degree.
  • The majority (>81%) of the offered jobs are for Northeast, South, and West regions of the US.
  • Wage of most of the job postings are around 75k.
  • Visa applications are more for newly established companies that are around year of establishment 2000.
  • The European and South American applicants have the highest and the lowest chances of visa certification, respectively.
  • The higher the applicant's education level is, the more their chances of visa certification are.
  • Having job experience increases the chances of visa certification – Docrate degree compared to case_status certified is higher.
  • The offered positions with the wage units of Year and Hour have the highest and the lowest chances of visa certification, respectively.

Model comparision performances¶

Almost all the classifiers perform similarly, but the Tuned Gradient Boosting model slightly outperforms other models in terms of F1-score - it provided the maximum F1-score of 0.822 on the test data. Overall, the features education_of_employee, has_job_experience, and unit_of_wage_Year are among the top four important variables affecting the visa certification likelihood. Other variables of importance is continent_Europe. According to the final selected model, i.e., Tuned Decision Tree: The top four variables of importance when predicting a visa certification are education_of_employee, has_job_experience, unit_of_wage_Year, prevailing_wage and continent_Europe.

Recommendations¶

The applicants meeting the following criteria have high chances of visa certification:

  • Having a master's or a doctorate degree
  • Prevailing wage unit of year
  • University degree
  • Job experience
  • Position with a prevailing wage unit of year
  • Being from Europe
  • Having a bachelor's degree